irreversible choice of uncertain technologies with network externalities in this article i explore the problem of sequential and irreversible technology choice in the presence of network externalities when the technologies stochastically evolve over time early potential users are shown to adopt an irreversible technology too early compared to the social optimum the effect of increasing the uncertainty of the technologies on an early potential user s decision is analyzed i find that the sponsor of new emerging technology might choose a research strategy that is too safe i also study the consequences of allowing side payments between generations of consumers and demonstrate that an ex post optimal standardization policy can impair ex ante social welfare

can portmanteau nonlinearity tests serve as general mis specification tests a number of recent papers have employed the bds test as a general test for mis specification for linear and nonlinear models we show that for a particular class of conditionally heteroscedastic models the bds test is unable to detect a common mis specification our results also demonstrate that specific rather than portmanteau diagnostics are required to detect neglected asymmetry in volatility however for both classes of tests reasonable power is only obtained using very large sample sizes

north south standards harmonization and international trade recent years have seen a surge in economic integration agreements eias and the development of non tariff measures ntms as a consequence a growing number of eias include provisions on ntms however little attention has been given in the literature to the effects of ntm liberalization in the context of eias in this paper we focus on provisions for technical regulations and analyze whether the north south harmonization of technical barriers affects international trade using a gravity equation it tests whether as a result of the deep integration associated with standards provisions included in the eia the southern partners trade expands with the north but at the expense of their trade with non bloc southern partners empirical results provide strong support for this conjecture moreover harmonization on the basis of regional standards negatively impacts the exports of developing countries to the north

testing for nonlinear dependence in daily foreign exchange rates the purpose of this article is to investigate whether daily changes in five major foreign exchange rates contain any nonlinearities although the data contain no linear correlation evidence indicates the presence of substantial nonlinearity in a multiplicative rather than additive form further examination reveals that a generalized autoregressive conditional heteroskedasticity model can explain a large part of the nonlinearities for all five exchange rates copyright 1989 by the university of chicago

a simplified jump process for common stock returns the specification of a statistical distribution which accurately models the behavior of stock returns continues to be a salient issue in financial economics with the introduction of arithmetic and geometric brownian motion models much attention has recently focused on a poisson mixture of distributions as an appropriate specification of stock returns for example see 12 3 8 10 5 and 1 consistent with empirical evidence these models yield leptokurtic security return distributions and furthermore the specification has much economic intuition in particular one may always decompose the total change in stock price into normal and abnormal components the normal change may be due to variation in capitalization rates a temporary imbalance between supply and demand or the receipt of any other information which causes marginal price changes this component is modelled as a lognormal diffusion process the abnormal change is due to the receipt of any information which causes a more than marginal change in the price of the stock and is usually modeled as a poisson process

innovations improvements and the optimal adoption of new technologies abstract this paper extends the literature on technology adoption by introducing a distinction between technological breakthroughs innovations and the engineering refinements improvements that follow such a breakthrough firms do not necessarily wait for a future technological breakthrough but instead have an incentive to delay the adoption of a new technology until it is sufficiently advanced we characterize a firm s adoption decision as the solution to a continuous time infinite horizon dynamic programming problem which gives rise to an ordinary differential equation that is highly non linear and does not have a closed form solution we thus employ projection techniques and show how these techniques can be applied to the analysis of optimal stopping problems

does the energy efficiency paradox exist technological progress and uncertainty we explain why firms may choose not to undertake investments inenergy saving technologies that appear profitable from a net presentvalue perspective as future technological advances are inherentlyuncertain and investments in new technology are at least partly irreversible it may pay to postpone investments in energy savingand wait for the arrival of improved varieties this insight casts doubton the existence of so called low hanging fruits in energy saving although we do not wish to deny that organisational failures may alsobe important failure to appreciate the underlying stochasticity oftechnological progress may obscure the insight that there is value inwaiting and costs involved in terminating the option to invest theappetite for low hanging fruits will be less when these costs areincorporated in the analysis we demonstrate that the effect of thearrival rate of new technologies on the adoption lag for a rational firmis ambiguous the same holds for the effect of the expected jump inefficiency of new technologies government policies aimed at enhancingthe adoption of new technologies through stimulation of r d maytherefore be counterproductive

stochastic convenience yield and the pricing of oil contingent claims this paper develops and empirically tests a two factor model for pricing financial and real assets contingent on the price of oil the factors are the spot price of oil and the instantaneous convenience yield the parameters of the model are estimated using weekly oil futures contract prices from january 1984 to november 1988 and the model s performance is assessed out of sample by valuing futures contracts over the period november 1988 to may 1989 finally the model is applied to determine the present values of one barrel of oil deliverable in one to ten years time

technological advancement learning and the adoption of new technology abstract this research focuses attention upon three related issues the persistence of technological progress over time multiple adoption decisions over a long horizon and the impact of production based learning on those decisions we develop a simple economic model for a single product producing firm incorporating continuous technological progress linear product demand linear switching costs and experience based cost reductions a dynamic programming framework is used to evaluate cases where either one or an unlimited number of adoptions are allowed over an infinite horizon both structural and numerical results are presented fundamental results serve to explain several counter intuitive dynamics in the single adoption case faster rates of technological progress as well as growing markets or a steeply sloping demand curve serve to delay adoption while an increased ability to learn may accelerate it when multiple adoptions are allowed the adoption of any particular technology presents a window of opportunity in which future investment will be warranted if for whatever reason this window has passed then maintaining the older technology becomes more attractive than adoption thus seemingly outdated technologies may remain embedded in some settings

evaluating interval forecasts a complete theory for evaluating interval forecasts has not been worked out to date most of the literature implicitly assumes homoskedastic errors even when this is clearly violated and proceed by merely testing for correct unconditional coverage consequently i set out to build a consistent framework for conditional interval forecast evaluation which is crucial when higher order moment dynamics are present the new methodology is demonstrated in an application to the exchange rate forecasting procedures advocated in risk management

technology adoption in nonrenewable resource management technological change has played an important role in models of nonrenewable resource management since its presence mitigates the depletion effect on extraction costs over time we formalize the problem of a competitive nonrenewable resource extracting firm faced with the possibility of technology adoption based on a quadratic extraction cost function our results show that the expected net benefits from adoption increase both with the size of the resource stock and with prices a boundary that separates the region where expected net benefits are positive from the one where they are negative is derived

time irreversibility and egarch effects in us stock index returns in this paper we suggest using a modified version of the time reversibility tr test of chen chou and kuan 2000 as a complementary diagnostic test for time series models the modified cck test is easy to compute and requires weaker moment conditions than existing tests our simulations demonstrate that this test is powerful against asymmetry in volatility but the bds test is not in the empirical study of us stock index returns we first find that these returns are all time irreversible applying the garch and egarch models to these returns we also find that the q and bds tests always accept the null hypothesis and cannot distinguish between these models by contrast the modified cck test accepts only the egarch model with an order that can accommodate the underlying asymmetry in volatility our results suggest that the detected time irreversibility in these return series may be attributed to volatility asymmetry and that such asymmetry may be captured using a proper egarch model copyright 2002 john wiley sons ltd

technological expectations and adoption of improved technology abstract attention is focused upon the adoption demand rather than the creation supply of new technology which improves from time to time based on the expected flow of technological progress over which the firm demander has no control it must decide either to adopt the current best available technology or to postpone adoption the distinguishing features of the model are that more than one technological innovation is anticipated and expectations about the likelihood of such innovations are revised as time passes since the last innovation our analysis shows that the firm will adopt the current best practice if its technological lag exceeds a certain threshold moreover as time passes without new technological advances it may become profitable to purchase a technology that has been available even though it was not profitable to do so in the past

modelling asymmetric volatility in oil prices under structural breaks abstract this paper shows that accounting for endogenously determined structural breaks within an asymmetric garch model reduces volatility persistence in oil prices more importantly we find that both good and bad news have significantly more impact on volatility if structural breaks are accounted for in a model thus previous studies have significantly underestimated the impact of news on volatility as they have inadvertently ignored these structural breaks in volatility our empirical results suggest that it is best to include both asymmetric effects and structural breaks in a garch model to accurately estimate oil price volatility dynamics our results have important practical implications not only for option valuation and hedging decisions but also have major consequences for broader financial markets the energy industry and the overall economy

sequential investment in renewable energy technologies under policy uncertainty although innovation and support schemes are among the main forces that drive investment in renewable energy re technologies both involve considerable uncertainty we develop a real options framework to analyse the impact of technological policy and electricity price uncertainty on the decision to invest sequentially in successively improved versions of a re technology technological uncertainty is reflected in the random arrival of innovations and policy uncertainty in the likely provision or retraction of a subsidy that takes the form of a fixed premium on top of the electricity price we show that greater likelihood of subsidy retraction provision lowers raises the incentive to invest and by comparing a stepwise to a lumpy investment strategy we show how an embedded option to adopt an improved technology version mitigates the impact of subsidy retraction on investment timing specifically we show how stepwise investment facilitates earlier technology adoption compared to lumpy investment and that under stepwise investment technological uncertainty accelerates technology adoption thus further offsetting the incentive to delay investment in the light of subsidy retraction

optimal technology adoption when the arrival rate of new technologies changes our paper contributes to the literature of technology adoption in most of these models it is assumed that the intensity rate of new arrivals is constant we extend this approach by assuming that after the last technology jump the intensity of a new arrival can change right after the arrival of a new technology the intensity equals a specific value that switches if no new technology arrival has taken place within a certain period after the last technology arrival we look at different scenarios dependent on whether the firm is threatened by a drop in the arrival rate after a certain time period or expects the rate to rise we analyze the effect of a mean preserving spread of the time between two consecutive arrivals on the optimal investment timing and show that larger variance can accelerate investment in case the arrival rate rises while it can decelerate investment in case the arrival rate drops we find that firms often adopt a new technology a time lag after its introduction which is a phenomenon frequently observed in practice regarding a firm s technology releasing strategy we explain why additional uncertainty can stimulate customers buying behavior the optimal adoption timing changes significantly depending on whether the arrival rate is assumed to change or be constant over time adding uncertainty about the length of the time period after which the arrival intensity changes we find that increasing uncertainty accelerates investment a result that is opposite to the standard real options theory

the impact of regulations on agricultural trade evidence from the sps and tbt agreements according to world trade organization rules countries may adopt regulations under the agreements on sanitary and phyto sanitary sps and technical barriers to trade tbt we analyze the structure of these measures in agricultural trade the inventory approach suggests that european countries have among the lowest coverage ratios of all oecd countries using a gravity equation we also estimate their stringency our results suggest that they significantly reduce developing countries exports to oecd countries but do not affect trade between oecd members furthermore european imports are more negatively influenced by sps and tbts than imports of other oecd countries

information capacity and innovation adoption researchers of innovation adoption and diffusion often have tested the hypothesis that firms with greater capacities to gather and evaluate information should adopt sooner however the data generally do not support this hypothesis a theoretical model of innovation adoption under uncertainty is developed to show that greater information capacity implies not only faster learning which tends to reduce the expected delay until adoption but also a more stringent adoption criterion which tends to increase the expected delay the resulting ambiguity provides an explanation for the lack of empirical support for this hypothesis

strategic timing of adoption of new technologies under uncertainty abstract in this paper we introduce experience effects into a duopoly game of timing of adoption of new technologies which exhibit exogenous technological progress departing from the existing literature with this model we obtain continuous and downward sloping reaction functions we find that a higher level of uncertainty increases the extent of dispersion between the equilibrium timings of adoption furthermore we find that the equilibrium timings are even more dispersed when the leader takes the follower s reaction into account when firm roles are made endogenous we find that if there is an incentive to lead follow the equilibrium timings are more less dispersed finally we show that it is possible for collusive adoption to improve welfare

adoption and diffusion of an innovation of uncertain profitability the argument has frequently been made that the pattern of diffusion associated with most new innovations will typically have certain characteristics a diffusion curve for an innovation is usually defined as the proportion of its potential users who have already adopted as a function of time measured from the first adoption many empirical studies by both economists and other social scientists have shown that diffusion curves nearly always have two distinct characteristics i they are s shaped the proportion adopted is an increasing function of time which is initially convex but eventually becomes concave and ii they tend to be right hand skewed the inflection point occurs at a time corresponding to a proportion adopted which is less than one half so that the function is concave over the greatest amount of time in fact this skewing is occasionally severe enough to make the diffusion curve appear concave everywhere the focus of most empirical studies of innovation diffusion has centered on identification of either the major determinants of the speed of diffusion or the characteristics of firms which determine how long they delay adoption the seminal contributions are griliches 6 study of hybrid corn and mansfield s 121 study of 12 industrial innovations these studies and most of the similar ones following conclude that diffusion is faster for innovations with higher profitability and that large firms tend to be the earliest adopters some studies e g mansfield 121 herregat 71 have attempted to ascertain

beyond the wto an anatomy of eu and us preferential trade agreements it is often alleged that ptas involving the ec and the us include a significant number of obligations in areas not currently covered by the wto agreement such as investment protection competition policy labour standards and environmental protection the primary purpose of this study is to highlight the extent to which these claims are true the study divides the contents of all ptas involving the ec and the us currently notified to the wto into 14 wto and 38 wto x areas where wto provisions come under the current mandate of the wto and wto x provisions deal with issues lying outside the current wto mandate as a second step the legal enforceability of each obligation is evaluated and judged on the extent to which the text specifies clear obligations among the findings are i ec agreements contain almost four times as many instances of wto x provisions as do us agreements ii but ec agreements evidence a very significant amount of legal inflation i e non legally enforceable provisions in the wto x category and us agreements actually contain more enforceable wto x provisions than do the ec agreements iii us agreements tend to emphasise regulatory areas more compared to ec agreements 2010 blackwell publishing ltd

modelling energy spot prices empirical evidence from nymex this paper investigates the behaviour of spot prices in eight energy markets that trade futures contracts on nymex we consider two types of models a mean reverting model and a spike model with mean reversion that incorporates two different speeds of mean reversion one for the fast mean reverting behaviour of prices after a jump occurs and another for the slower mean reversion rate of the diffusive part of the model we also extend these models to incorporate time varying volatility in their specification modelled as a garch and an egarch process we compare the relative goodness of fit of the different modelling variations both in sample using monte carlo simulations as well as out of sample in a value at risk var setting our results indicate the presence of a leverage effect for wti heating oil and heating oil wti crack spread whereas for the remaining energy markets we find the presence of an inverse leverage effect also the addition of the egarch specification for the volatility process improves both the in sample fit as well as the out of sample var performance for most energy markets that we examine

spot and derivative pricing in the eex power market using spot and futures price data from the german eex power market we test the adequacy of various one factor and two factor models for electricity spot prices the models are compared along two different dimensions 1 we assess their ability to explain the major data characteristics and 2 the forecasting accuracy for expected future spot prices is analyzed we find that the regime switching models clearly outperform its competitors in almost all respects the best results are obtained using a two regime model with a gaussian distribution in the spike regime furthermore for short and medium term periods our results underpin the frequently stated hypothesis that electricity futures quotes are consistently greater than the expected future spot a situation which is denoted as contango

hysteresis due to irreversible exit addressing the option to mothball abstract this paper analyses the following hitherto understudied feature in real switching options a firm has a mothballing option and an option to permanently abandon if the firm finds itself in an operating mode with a price just above the abandonment threshold it is unclear whether to exercise the abandonment option or to exercise the mothballing option if the price goes down the firm may exit but surprisingly if it goes up it may mothball we find that two different strategies could be optimal one where mothballing is not a viable option and one where mothballing does occur in the latter case a hysteresis region arises in which the firm produces at a loss while a further price decrease induces exit and a sufficient price increase results in the firm entering the mothballing stage mothballing being optimal requires sufficiently large values of the price trend and the uncertainty parameter

renewables diffusion and contagion effect in italian regional electricity markets assessment and policy implications abstract in the electricity market sudden price jumps occur more frequently than in other markets due to the peculiarity of electricity furthermore the structural spot characteristics of the electricity market determine high price variability all these characteristics have been accentuated by the dramatic increase of renewable energy supply in italy starting in 2010 these features suggest the possibility of contagion effects across italian regional electricity markets considering contagion such as a sudden and significant increase in cross market links arising from a shock to a specific market in this paper we investigate whether such a renewable energy increase has affected the contagion behavior in the italian electricity spot market taking into account both the difference between interdependence and contagion and the direction of the shock we find empirical evidence with significant tests that no changes have occurred in interdependence mechanism nor in contagion effects due to renewable energy sources development in italy

investment under uncertainty and policy change in this paper the impact of a policy change on the investment behavior of the firm is studied in an incomplete information setting the policy change occurs when a stochastic process describing the state of the economic environment reaches a certain trigger the firm has incomplete information about the trigger and knows only its probability distribution consequently both the firm s conjecture concerning the trigger value as well as the precision of this conjecture serve as input parameters we derive the optimal investment rule maximizing the value of the firm and show that the impact of the trigger value uncertainty on the optimal investment threshold is non monotonic the threshold decreases with uncertainty for its low levels while the reverse is true if uncertainty is high furthermore we provide results concerning the valuation of the firm s investment opportunity and present some policy implications

irreversible abatement investment under cost uncertainties tradable emission permits and emissions charges abstract a major concern with tradable emission permits is that stochastic permit prices may reduce a firm s incentive to invest in abatement capital or technologies relative to other policies such as a fixed emissions charge however under efficient permit trading the permit price uncertainty is caused by abatement cost uncertainties which affect investment under both permit and charge policies we develop a rational expectations general equilibrium model of permit trading and irreversible abatement investment to show how cost uncertainties affect investment under permits we compare the resulting investment incentive with that under charges after controlling for the assumption that random shocks affect the abatement cost linearly we find that firms investment incentive decreases in cost uncertainties but more so under emissions charges than under permits therefore tradable permits in fact may help maintain firms investment incentive under uncertainty

oil price dynamics 2002 2006 abstract oil price dynamics during 2002 2006 have been characterized by high volatility high intensity jumps and strong upward drift and were concomitant with underlying fundamentals of oil markets and world economy namely pressure on oil prices resulting from rigid crude oil supply and expanding world demand for crude oil a change in the oil price process parameters would require a change in underlying fundamentals market expectations extracted from call and put option prices anticipated no change in underlying fundamentals in the short term markets expected oil prices to remain volatile and jumpy and with higher probabilities to rise rather than fall above the expected mean

the political economy of nontariff barriers a cross national analysis nontariff barriers to trade are most pervasive when deteriorating macroeconomic conditions give rise to demands for protection by pressure groups when countries are sufficiently large to give policymakers incentives to impose protection and when domestic institutions enhance the ability of public officials to act on these incentives statistical results based on a sample of advanced industrial countries during the 1980s support the argument that the incidence of nontariff barriers tends to be greatest when the preferences of pressure groups and policymakers converge more attention should be devoted to the interaction between societal and statist factors in cross national studies of trade policy

invest or exit optimal decisions in the face of a declining profit stream even in the face of deteriorating and highly volatile demand firms often invest in rather than discard aging technologies to study this phenomenon we model the firm s profit stream as a brownian motion with negative drift at each point in time the firm can continue operations or it can stop and exit the project in addition there is a one time option to make an investment that boosts the project s profit rate using stochastic analysis we show that the optimal policy always exists and that it is characterized by three thresholds there are investment and exit thresholds before investment and there is a threshold for exit after investment we also effect a comparative statics analysis of the thresholds with respect to the drift and the volatility of the brownian motion when the profit boost upon investment is sufficiently large we find a novel result the investment threshold decreases in volatility

the effects of the market structure on the adoption of evolving technologies abstract we study the speed at which technologies are adopted depending on how the market power is shared between the firms that sell technologies and the firms that buy them our results suggest that because of a double marginalization problem adoption is fastest when either sellers or buyers hold all the market power thus competition between sides of the market may delay the adoption of technologies

delaying product introduction a dynamic analysis with endogenous time horizon abstract we consider a capital accumulating incumbent firm which produces an established product and has the option to introduce an improved substitute product to the market by incurring adoption costs we find that depending on the initial capacities on the established market and the value of adoption costs three scenarios are possible namely introducing immediately later or abstaining from product introduction in case of delayed product introduction the incumbent reduces capacities for the established product before the new product is introduced we find that the higher the adoption costs the higher is the gain by delaying the product introduction compared to immediate introduction from a welfare perspective the product introduction is welfare enhancing but the option of delay decreases the welfare gain the model is calibrated using data on hard disk and solid state drives

optimal sequential investment when capital is not readily reversible when investment opportunities arrive one at a time and are reviewed sequentially a corporation s optimal policy differs from a standard net present value rule if the corporation exercises control over an industry state variable and control is costly the first condition presupposes a degree of market power for the firm the second occurs if corporate investment decisions are imperfectly reversible to address the problem of optimal investment in this context a firm s investment decisions are modeled as a markov reward process the causes of economic irreversibility are discussed and general propositions concerning the optimal investment policy are derived these propositions are then applied to the optimization of an exploration program by an oligopolistic firm a price leader under particular demand and distributional assumptions solutions for the optimal decision rule and the value of the exploration program are obtained and their properties examined current investment may affect future opportunities by creating growth opportunities as defined by myers 16 see also spence 25 or by reducing the value of an existing opportunity set despite the known potential for these interactions capital budgeting techniques such as net present valuation scenario planning and monte carlo simulation focus exclusively on the stand alone value of an investment the capacity for modeling interactions is present in the multiperiod models of merton 16 bogue and roll 5 and others the absence of applications however is evidence that actual economic interactions between current and future opportunities are not well understood this paper develops a model of a firm facing a sequence of interdependent growth opportunities opportunities have positive net present values because the firm exercises market power in its product market current investment changes the value of future opportunities through its effect on a product market variable the model is used to examine the impact of demand industry structure and technology on optimal investment rules and on the value of aggregate growth

the net present value method versus the option value of waiting a note on farzin huisman and kort 1998 abstract using the tools of real options theory farzin huisman and kort 1998 investigate the optimal timing of technology adoption in a model in which there is ongoing technological progress and the firm s investment decision is irreversible when the firm can switch technologies n farzin et al 1998 obtain the surprising result that the criterion for adopting a new technology derived from real options theory coincides with the net present value criterion for all but the last switch this note points out a mistake in farzin et al s 1998 derivations that leads to the above result we show that compared to the net present value approach the firm will defer the adoption of a new technology when it takes the option value of waiting into account

non tariff measures specific trade concerns and tariff reduction this paper studies the determinants of the recent proliferation of specific trade concerns raised at the wto on non tariff trade measures ntms with a focus on sanitary and phytosanitary sps and technical barriers to trade tbts even though ntms are imposed de jure to protect consumers from unhealthy products they increase trade costs de facto so when tariff protection lowers ntms become effective barriers to trade and the exporting countries can complain at the dedicated committee at the wto stcs therefore we study whether stcs are raised by exporting countries as a consequence of tariff reductions in importing countries that is when non tariff measures become barriers to trade using a recent database on stcs over the period 1996 2010 we find empirical evidence that sps and tbt concerns are raised by exporting country as a consequence of importer s tariff cut

further results on the constant elasticity of variance call option pricing model the black scholes 4 call option model is a member of the class of constant elasticity of variance call option models proposed by cox 6 while the black scholes model assumes that the volatility or instantaneous variance of return is constant through time the other members of the class allow the volatility to change with the stock price this property is of interest because empirical evidence suggests that returns to common stock are heteroscedastic and also that volatilities implied from the black scholes model and market prices of call options are not constant

a supply and demand based volatility model for energy prices abstract this paper proposes a new volatility model for energy prices using the supply demand relationship which we call a supply and demand based volatility model we show that the supply curve shape in the model determines the characteristics of the volatility in energy prices it is found that the inverse box cox transformation supply curve reflecting energy markets causes the inverse leverage effect i e positive correlation between energy prices and volatility the model is also used to show that an existing g arch m model has the foundations on the supply demand relationship additionally we conduct the empirical studies analyzing the volatility in the u s natural gas prices

timing of investment under technological and revenue related uncertainties the effects of two forms of uncertainty on the timing of irreversible investment are considered technological uncertainty is modeled as a poisson arrival process that reduces the cost of investment while revenue uncertainty is modeled as a diffusion process technological uncertainty has no effect on the optimal investment policy when revenue uncertainty is absent however when combined with revenue uncertainty increased technological uncertainty makes investment less attractive relative to waiting the paper also makes a more general point in clarifying the difference in how diffusion type of uncertainty and unidirectional stochastic progress affect investment timing

performance replication of the spot energy index with optimal equity portfolio selection evidence from the uk us and brazilian markets abstract this paper reproduces the performance of a geometric average spot energy index by investing only in a subset of stocks from the dow jones composite average the ftse 100 and bovespa composite indexes and in two pools that include only energy sector stocks from the us and the uk respectively daily data are used and the index tracking problem for passive investment is addressed with two evolutionary algorithms the differential evolution algorithm and the genetic algorithm the performance of the suggested investment strategy is tested under three different scenarios buy and hold quarterly and monthly rebalancing accounting for transaction costs where necessary

the diffusion of clean technologies a review with suggestions for future diffusion analysis abstract this article gives an overview of the literature on clean technology diffusion followed by suggestions for future analysis findings from diffusion analysis are presented in the form of 10 stylised facts helping the reader to see the forest for the trees the overall conclusion is that the diffusion of clean technology same as the diffusion of normal innovations is governed by endogenous mechanism epidemic learning and learning economies and by exogenous mechanisms policy is important for clean technology diffusion but other factors are important too the characteristics of the clean technology absorptive capacities of potential adopters and the age structure of capital it is often overlooked that companies have a choice they can choose between an end of pipe solution a process change adaptation and a change of process substitution this means that the diffusion and evolution of one clean technology will be at the expense of the diffusion of another clean technology something overlooked in studies on clean technology diffusion further research is needed on the influence of public policy on clean technology choice expectations about learning economies and prices adjustment costs network externalities and complementary innovations on clean technology adoption choices

the investment strategies for a dynamic supply chain under stochastic demands abstract a successful supply chain management scm should aim to maximize the net present value of joint profits along the supply chain however the volatile market conditions cause the future cash flows along the supply chain more difficult to anticipate to obtain higher supply chain value the supplier and the retailer should cooperatively determine the optimal entry time this paper proposes a two stage dynamic optimization model by using a real option approach and then performs the sensitivity analyses for the option value and the investment threshold the impacts of some critical factors including the growth rate and the volatility of demand shock sunk cost and relating operational costs cost rates fix costs holding costs of inventory and shipping costs are investigated

repeated real options optimal investment behaviour and a good rule of thumb abstract this paper extends the standard investment under uncertainty set up with a single investment option to the case of infinitely repeated options analytical solutions are derived and it is shown that repeated options not only imply a smaller value of waiting than in the case of a single option but also that the optimal stopping rule is affected differently by changes in underlying parameters this is shown to allow for the use of a simple hurdle rate rule as a good and robust approximation to optimal behaviour when investment options are repeated something which is unlikely in the single option case

option value uncertainty and the investment decision the options based approach to studying irreversible investment under uncertainty emphasizes that the opportunity cost of investment includes the value of the option to wait that is extinguished when an investment is undertaken thus the investment decision is affected by the determinants of the value of this option we extend and generalize a standard model of irreversible investment by introducing a second fully reversible technology and also incorporate partial reversibility by allowing capital to be abandoned at a cost as in the existing literature we find that the threshold value of the underlying asset in our case demand at which investment takes place is increasing in the uncertainty of demand we also find that the value of the option and thus the threshold value of the option value multiple at which investment takes place may be either increasing or decreasing in the uncertainty of demand in addition we find that for the case in which capital is used to replace the reversible technology the threshold value of the option value multiple is insensitive to the degree of reversibility of capital

technology adoption with uncertain future costs and quality in this paper we study the impact of uncertainty about future innovations in quality and costs on consumers technology adoption decisions we model the uncertainty in the technology s quality and costs as a markov process and consider three models of the adoption decision the first model assumes that consumers do a simple net present value npv analysis that compares the npv of adopting to that of not adopting without considering the possibility of waiting the second model is a stochastic dynamic program that considers the possibility of waiting and views the adoption decision as a one time event i e the consumer will only make a single purchase the only question is when the third model allows repeat purchases so the consumer may upgrade by purchasing new versions of the technology whenever it suits her we study structural properties of these models e g the following what changes in qualities and costs will make the consumer better off what changes will encourage adoption we will see that the simple npv and single purchase model have many intuitive properties with the right notion of improvements and reasonable assumptions about the technology changes we find that improvements in the technology make the consumer better off and encourage adoption here improvements are defined using a partial order on quality and cost pairs the results are more complicated in the repeat purchase model under the same conditions on technology changes technology improvements will make the consumer better off however except for special cases of transitions these improvements may make the consumer better off and discourage adoption

forecasting the realized volatility of the oil futures market a regime switching approach considering nonlinear and highly persistent dynamics of realized volatility we introduce markov regime switching models to the heterogeneous autoregressive model of the realized volatility har rv models to forecast the realized volatility of the crude oil futures market in sample results demonstrate that the high volatility regime is short lived out of sample results suggest that har rv models with regime switching increase the forecasting ability significantly than those without regime switching moreover these findings are robust for different actual volatility benchmarks forecasting windows and model settings

time irreversibility and business cycle asymmetry the problem of business cycle symmetry is addressed within the context of time reversibility to this effect the authors introduce a time domain test of time reversibility the tr test in an application they show that time irreversibility is the rule rather than the exception for two well known representative macroeconomic data sets this shows that many components of the business cycle have asymmetric fluctuations the characterization of asymmetry provided by the tr test shows that many series exhibit steepness asymmetry a few series appear to be either deep or sharp copyright 1996 by ohio state university press

portfolio insurance gap risk under conditional multiples abstract the research on financial portfolio optimization has been originally developed by markowitz 1952 it has been further extended in many directions among them the portfolio insurance theory introduced by leland and rubinstein 1976 for the option based portfolio insurance obpi and perold 1986 for the constant proportion portfolio insurance method cppi the recent financial crisis has dramatically emphasized the interest of such portfolio strategies this paper examines the cppi method when the multiple is allowed to vary over time to control the risk of such portfolio management a quantile approach is introduced together with expected shortfall criteria in this framework we provide explicit upper bounds on the multiple as function of past asset returns and volatilities these values can be statistically estimated from financial data using for example arch type models we show how the multiple can be chosen in order to satisfy the guarantee condition at a given level of probability and for various financial market conditions

on jump processes in the foreign exchange and stock markets exchange rates exhibit systematic discontinuities even after allowingfor conditional heteroskedasticity in the diffusion process the results are much more significant in theforeign exchange market than in the stock market which suggests differences in the structure of these markets finally this jump component is shown to explain some of the empirically observed mispricings in the currency options market the objective of this article is to analyze and compare the empirical distribution of returns in the stock market and in the foreign exchange market there are a number of reasons why a better understanding of the stochastic processes driving prices in these markets would be useful many financial models rely heavily on the assumption of a particular stochastic process while relatively little attention is paid to the empirical fit of the postulated distribution as a result models like option pricing models are applied indiscriminately to various markets such as the stock market and the foreign exchange market when the underlying processes may be fundamentally different the foreign exchange market for instance is characterized by active exchange rate man

technology adoption decisions under irreversibility and uncertainty an ex ante appproach empirical results demonstrate that uncertainty about costs and requirements for environmental compliance is an important determinant of dairy producers investment behavior ex ante forecasting of how uncertainty and irreversibility are likely to affect producers responsiveness to agricultural technologies has implications for the design of environmental policies simulation modeling methods are described the empirical analysis focuses on texas producers propensity to adopt free stall dairy housing free stall investments offer advantages for both productivity augmentation and pollution abatement yet uncertainty and irreversibility are obstacles to adoption implications of this ex ante paradigm for policy design and implementation are discussed

trade standards and poverty evidence from senegal summary in the debate on trade and poverty it is argued that standards act as trade barriers and cause marginalization of the poor this paper quantifies income and poverty effects of high standards trade and integrates labor market effects by using company and household survey data from the vegetable export chain in senegal we find that exports grew sharply despite increasing standards contributing importantly to rural incomes and poverty reduction tightening standards induced a shift from smallholder contract farming to integrated estate production altering the mechanism through which poor households benefit through labor markets instead of product markets

the impact of sanitary and phytosanitary measures on market entry and trade flows in an attempt to disentangle the impact of sanitary and phytosanitary sps measures on trade patterns we estimate a heckman selection model on the hs4 disaggregated level of trade we find that aggregated sps measures constitute barriers to agricultural and food trade consistently to all exporters but conditional on market entry trade flows are positively affected by sps measures additionally we find that sps measures related to conformity assessment hamper market entry and trade flows while sps measures related to product characteristics pose an entry barrier but increase bilateral trade flows conditional on meeting the standard

optimal regime switching under risk aversion and uncertainty abstract technology adoption is key for corporate strategy often determining the success or failure of a company as a whole however risk aversion often raises the reluctance to make a timely technology switch particularly when this entails the abandonment of an existing market regime and entry in a new one consequently which strategy is most suitable and the optimal timing of regime switch depends not only on market factors such as the definition of the market regimes as well as economic and technological uncertainty but also on attitudes towards risk therefore we develop a utility based regime switching framework for evaluating different technology adoption strategies under price and technological uncertainty we assume that a decisionmaker may invest in each technology that becomes available compulsive or delay investment until a new technology arrives and then invest in either the older laggard or the newer technology leapfrog our results indicate that if market regimes are asymmetric then greater risk aversion and price uncertainty in a new regime may accelerate regime switching in addition the feasibility of a laggard strategy decreases increases as price uncertainty in an existing new regime increases finally although risk aversion typically favours a compulsive and a laggard strategy a leapfrog strategy may be feasible under risk aversion provided that the output price and the rate of innovation are sufficiently high

how to escape a declining market capacity investment or exit this paper considers a firm that faces a declining profit stream for its established product the firm has the option to invest in a new technology with which it can produce an innovative product while having the option to exit at any point in time in the presence of an exit option earlier work determined the optimal timing to invest where it was shown that higher uncertainty might accelerate investment timing in the present paper the firm also decides on capacity this extension leads to monotonicity i e higher uncertainty delays investment timing we also find that higher potential profitability of the innovative product market increases the incentive to invest earlier where however we get the counterintuitive result that the firm invests in smaller capacity finally if quantity has a smaller negative effect on price the firm wants to acquire a larger capacity at a lower investment threshold

forecasting the volatility of crude oil futures using intraday data abstract we use the information in intraday data to forecast the volatility of crude oil at a horizon of 1 66 days using a variety of models relying on the decomposition of realized variance in its positive or negative semivariances part and its continuous or discontinuous part jumps we show the importance of these decompositions in predictive in sample regressions using a number of specifications nevertheless an important empirical finding comes from an out of sample analysis which unambiguously shows the limited interest of considering these components overall our results indicates that a simple autoregressive specification mimicking long memory and using past realized variances as predictors does not perform significantly worse than more sophisticated models which include the various components of realized variance

the political economy of non tariff measures over the last decades non tari measures ntms have seen an important upsurge how ever little research has focused on the political economy of non tariff protection and the existing studies are mainly based on a single country or a specific type of measures this paper seeks to fill the gap by empirically evaluating the determinants of ntms in several countries both developed and developing overall results show certain protectionist purposes behind the adoption of ntms this conclusion is reinforced for restrictive measures i e subject to trade concerns but does not hold for non restrictive measures suggesting the legitimate goal of several ntms furthermore transnational lobbying defined as the influence exerted by national business groups during the ministerial conferences the highest authority of the world trade organization wto increases the probability of adopting ntms in both developed and developing countries

implications of nonlinear dynamics for financial risk management this paper demonstrates that when log price changes are not iid their conditional density may be more accurate than their unconditional density for describing short term behavior using the bds test of independence and identical distribution daily log price changes in four currency futures contracts are found to be not iid while there appear to be no predictable conditional mean changes conditional variances are predictable and can be described by an autoregressive volatility model that seems to capture all the departures from independence and identical distribution based on this model daily log price changes are decomposed into a predictable part which is described parametrically by the autoregressive volatility model and an unpredictable part which can be modeled by an empirical density either parametrically or nonparametrically this two step seminonparametric method yields a conditional density for daily log price changes which has a number of uses in financial risk management

the diffusion of new technology and the market for an innovation this article shows that the diffusion of a capital embodied process innovation results from a pattern of decreasing incremental benefits and adoption costs for later adoptions strategic behavior is inessential to this finding we develop a method for comparing diffusion rates for different market structures in the capital equipment market we consider cases with market power on the seller s side of the market and on the buyers side of the market a case with no market power and the welfare optimal case we find that a joint venture adopts an innovation more slowly than other market regimes to protect existing capital investments and that the adoption rate is slower than is socially optimal a monopoly supplier on the other hand adopts at a rate faster than is socially optimal this result is usually also the case when there is no market power finally we show that the monopoly supplier accelerates adoptions faster than in the case where there is no market power but retards later adoptions market power thus makes a difference in diffusion rates and on which side of the market that power lies makes a considerable difference

optimal timing of technology adoption abstract in a dynamic programming framework this paper investigates the optimal timing of technology adoption by a competitive firm when technology choice is irreversible and the firm faces a stochastic innovation process with uncertainties about both the speed of the arrival and the degree of improvement of new technologies a numerical example illustrates how the optimal timing decision is affected by changes in parameter values reflecting market conditions the firm s initial technological attributes and the characteristics of the stochastic innovation process some of these effects turn out to be in sharp contrast to common intuition contrasting the optimal decision rule derived here with the rule obtained under the net present value shows that the former implies a slower pace of adoption than implied by the latter the optimal decision rule is generalized for the case of multiple technology switches and it is shown that for all the switching decisions except the last one the optimal rule satisfies the net present value criterion

mean reversion in equilibrium asset prices evidence from the futures term structure we use the term structure of futures prices to test whether investors anticipate mean reversion in spot asset prices the empirical results indicate mean reversion in each market we examine for agricultural commodities and crude oil the magnitude of the estimated mean reversion is large for example point estimates indicate that 44 percent of a typical spot oil price shock is expected to be reversed over the subsequent eight months for metals the degree of mean reversion is substantially less but still statistically significant we detect only weak evidence of mean reversion in financial asset prices in this study we provide evidence of mean reversion in the prices of several real and financial assets rather than examining evidence of ex post reversion using time series of asset prices we use price data from futures contracts with varying delivery horizons to test whether investors expect asset prices to revert this approach offers two advantages first since futures prices are readily available for many markets our procedure can be implemented for many assets including those for which reliable spot price data is elusive second there is little ambiguity as to the source of any mean reversion detected using our method subject only to the maintained assumption that the no arbitrage cost of carry condition holds our test detects mean reversion that is expected to occur in equilibrium but has no power to detect mean reversion resulting from noise or inefficiencies our methodology focuses on relations between price levels and the slope of the futures term structure defined as the change across delivery dates in the futures prices observed on a given trading date an inverse relation between prices and the futures term slope constitutes evidence that investors expect mean reversion in spot prices to illustrate initially assume there are no

on the diffusion of new technology a game theoretic approach this paper is an attempt at a rigorous albeit not exceedingly general analysis of the diffusion of new technology in particular consider an industry composed of two firms each using the current best practice technology the firms are assumed to be operating at nash equilibrium output levels generating a market price given demand and profit allocations when a cost reducing innovation is announced each firm must determine when if ever to adopt it based in part upon the discounted cost of implementing the new technology and in part upon the behavior of the rival firm if either firm adopts before the other it can expect to make substantial profits at the expense of the other firm on the other hand the discounted sum of purchase price and adjustment costs may decline with the lengthening of the adjustment period as various quasi fixed factors become more easily variable therefore although waiting costs the firm more in terms of foregone profits it may save money on the cost of purchasing the new technology thus the firm must weigh the costs and benefits of delaying adoption as well as take account of its rival s strategic behavior

the influence of perceived uncertainty on entrepreneurial action in emerging renewable energy technology biomass gasification projects in the netherlands emerging renewable energy technologies cannot break through without the involvement of entrepreneurs who dare to take action amidst uncertainty the uncertainties that the entrepreneurs involved perceive will greatly affect their innovation decisions and can prevent them from engaging in innovation projects aimed at developing and implementing emerging renewable energy technologies this article analyzes how perceived uncertainties and motivation influence an entrepreneur s decision to act using empirical data on biomass gasification projects in the netherlands our empirical results show that technological political and resource uncertainty are the most dominant sources of perceived uncertainty influencing entrepreneurial decision making by performing a dynamic analysis we furthermore demonstrate that perceived uncertainties and motivation are not stable but evolve over time we identify critical factors in the project s internal and external environment which influence these changes in perceived uncertainties and motivation and describe how various interactions between the different variables in the conceptual model internal and external factors perceived uncertainty motivation and previous actions of the entrepreneurs positively or negatively influence the decision of entrepreneurs to continue entrepreneurial action we discuss how policymakers can use these insights for stimulating the development and diffusion of emerging renewable energy technologies

modelling the impact of non tariff measures on supply chains in asean this paper explores the impact of reducing non tariff measures ntms in major asean countries new econometric estimates of the impact of different types of ntms are used in a global supply chain model to separately model the effects on intermediate products and those sold to final consumers we also distinguish between whether the ntm cost burden is directed at exporters or importers this paper makes important advances in modelling the heterogeneity of ntms offering much richer policy analysis of the impact of ntms on supply chains in the asia pacific region than has previously been possible we illustrate the benefits both to the major asean countries and to their trading partners from the partial liberalisation by asean countries of their most trade distorting types of ntms such liberalisation increases the gdp and welfare of all countries with the effect particularly pronounced for the major asean countries themselves especially vietnam and the philippines as trade in plant products and animal products is particularly affected by ntms these sectors show the largest expansion of trade

endogenous growth cycles current explanations why a growing economy necessarily goes through periods of high and low growth predict countercyclical r d investment as this is very controversial from an empirical perspective a stochastic poisson model of endogenous growth cycles is presented where the determinants of the cyclical behaviour of r d investment are analytically studied providing an explicit expression for the expected length of a cycle shows that high frequency fluctuations can indeed be understood by this approach it is also shown how small technological improvements translate into large aggregate fluctuations

a dynamic general equilibrium analysis on fostering a hydrogen economy in korea hydrogen is anticipated to become one of the major alternative energy technologies for a sustainable energy system this study analyzes the dynamic economic impacts of building a hydrogen economy in korea employing a dynamic computable general equilibrium cge model as a frontier technology hydrogen is featured as having a slow diffusion rate due to option value positive externality resistance of old technology and complementary vintages without government intervention hydrogen derived energy will supply up to 6 5 of final energy demand by 2040 simulation outcomes show that as price subsidy rates increase by 10 20 and 30 hydrogen demand will increase by 9 2 15 2 and 37 7 respectively of final energy demand by 2040 the output of the transportation sector will increase significantly while demands for oil and electricity will decline demands for coal and lng will experience little change household consumption will decline because of the increase of income taxes overall gdp will increase because of the increase in exports and investments co2 emission will decline for medium and high subsidy rate cases but increase for low subsidy cases ultimately subsidy policy on hydrogen will not be an effective measure for mitigating co2 emission in korea when considering dynamic general equilibrium effects

dynamic incentives by environmental policy instruments a survey abstract in this paper i survey and discuss recent developments on the incentives provided by environmental policy instruments for both adoption and development of advanced abatement technology a main conclusion to be drawn from the literature is that under competitive conditions market based instruments usually perform better than command and control moreover taxes may provide stronger long term incentives than tradable permits if the regulator is myopic if the government can anticipate new technology or is able to react on it optimally regulatory policies by virtue of administered prices taxes and policies by setting quantities issuing tradable permits are almost equivalent the literature also shows that under competitive conditions there is no difference between auctioning permits and grandfathering moreover timing and commitment of environmental policy is not crucial for adoption under competitive conditions commitment has positive incentive effects however if an r d sector has market power in the presence of market imperfections the ranking of the different policy instruments is ambiguous

commodity futures and market efficiency we propose a comprehensive treatment of the leverage effect i e the relationship between returns and volatility of a specific asset focusing on energy commodities futures namely brent and wti crude oils natural gas and heating oil after estimating the volatility process without assuming any specific form of its behavior we find the volatility to be long term dependent with the hurst exponent on a verge of stationarity and non stationarity to overcome such complication we utilize the detrended cross correlation and the detrending moving average cross correlation coefficients and we find the standard leverage effect for both crude oils and heating oil for natural gas we find the inverse leverage effect additionally we report that the strength of the leverage effects is scale dependent finally we also show that none of the effects between returns and volatility is detected as the long term cross correlated one these findings can be further utilized to enhance forecasting models and mainly in the risk management and portfolio diversification

preemption and rent equalization in the adoption of new technology we study the adoption of a new technology to illustrate the effects of preemption in games of timing we show that the threat of preemption equalizes rents in a duopoly but that this result does not extend to the general oligopoly game if the gain to preemption is sufficiently small then the optimal symmetric outcome which involves late adoption is an equilibrium this contrasts with reinganum s result that in precommitment equilibria there must be diffusion we develop a new and richer formalism for modeling games of timing which permits a continuoustime representation of the limit of discrete time mixed strategy equilibria

the economic determinants of technology shocks in a real business cycle model abstract creative destruction due to new technologies causes both long run growth and short run business fluctuations new technologies push the economy on a higher productivity level but also imply partial obsolescence of old production units obsolescence induces an adjustment period during which growth rates gradually fall at some endogenously determined point research for the next technology starts once the new technology is discovered a technology shock occurs and the next cycle starts this is shown in a continuous time rbc model with risk averse agents where savings can be used for financing deterministic capital accumulation and stochastic r d for new technologies

investments of uncertain cost abstract this paper examines irreversible investment decisions when projects take time to complete and are subject to two types of cost uncertainty the first is technical uncertainty i e uncertainty over the physical difficulty of completing a project which is only resolved as the investment proceeds the second is input cost uncertainty i e uncertainty over the prices of construction inputs or over government regulations affecting construction costs which is external to the firm these two types of uncertainty have very different effects on the investment decision a simple investment rule is derived that maximizes firm value and is used to analyze the decision to start or continue building a nuclear power plant during the 1980s

bad eggs learning by doing and the choice of technology we model long run economic development through technology adoption under scientific uncertainty about environmental effects there are four possible long run equilibria in a socially planned economy high growth adopt rapidly but abandon damaging technologies once revealed ddt cfcs cautious brake the introduction of new technologies to avoid mistakes genetically modified organisms no growth halt technological progress to preserve secondary knowledge and collapse adopt rapidly without ever abandoning damaging technologies in the base parameterization a short sighted social planner chooses the cautious strategy a far sighted planner chooses the high growth strategy unless damages are irreversible in which case the cautious strategy again dominates regulatory options in the market economy are investigated pollution taxes do not affect the firm s level of precaution if they can only be applied after the adopting firm has reaped the benefits however they do encourage the abandonment of damaging technologies liability rules do affect precaution but may lead to excessive caution or even a no growth trap

spot price modeling and the valuation of electricity forward contracts the role of demand and capacity we propose a model where wholesale electricity prices are explained by two state variables demand and capacity we derive analytical expressions to price forward contracts and to calculate the forward premium we apply our model to the pjm england and wales and nord pool markets our empirical findings indicate that volatility of demand is seasonal and that the market price of demand risk is also seasonal and positive both of which exert an upward seasonal pressure on the price of forward contracts we assume that both volatility of capacity and the market price of capacity risk are constant and find that depending on the market and period under study it could either exert an upward or downward pressure on forward prices in all markets we find that the forward premium exhibits a seasonal pattern during the months of high volatility of demand forward contracts trade at a premium during months of low volatility of demand forwards can either trade at a relatively small premium or even in some cases at a discount i e they exhibit a negative forward premium

which determinant is the most informative in forecasting crude oil market volatility fundamental speculation or uncertainty abstract this paper aims to identify the most informative determinant in forecasting crude oil market volatility we use a new garch class model based on mixed data sampling regression and the dynamic model averaging combination method to examine the predicting power of the determinants we integrate both the global economic policy uncertainty gepu indices and several national economic policy uncertainty epu indices with traditional determinants such as global oil demand supply and speculation our analysis suggests that the epu indices comprehensively integrate the information contained in other determinants specifically gepu indices and the u s s epu index have superior predictive powers for west texas intermediate spot oil volatility this finding highlights the importance of epu indices implying that they are key factors to consider when determining crude oil market volatility

optimizing product launches in the presence of strategic consumers a technology firm launches newer generations of a given product over time at any moment the firm decides whether to release a new version of the product that captures the current technology level at the expense of a fixed launch cost consumers are forward looking and purchase newer models only when it maximizes their own future discounted surpluses we start by assuming that consumers have a common valuation for the product and consider two product launch settings in the first setting the firm does not announce future release technologies and the equilibrium of the game is to release new versions cyclically with a constant level of technology improvement that is optimal for the firm in the second setting the firm is able to precommit to a schedule of technology releases and the optimal policy generally consists of alternating minor and major technology launch cycles we verify that the difference in profits between the commitment and no commitment scenarios can be significant varying from 4 to 12

strategic technology switching under risk aversion and uncertainty abstract firms devising green investment strategies within a deregulated environment must take into account not only economic and technological uncertainty but also strategic interactions due to competition also further complicating green investment decisions is the fact that firms are likely to exhibit risk aversion since alternative energy technologies entail risk that cannot be diversified therefore we develop a utility based real options framework for pre emptive and non pre emptive competition in order to analyse how economic and technological uncertainty interact with risk aversion to impact the adoption of an existing technology in the light of uncertainty over the arrival of an improved version we confirm that greater risk aversion delays investment and show that technological uncertainty accelerates the follower s entry delays the entry of the pre emptive leader and intriguingly does not affect the non pre emptive leader s investment decision also we show how the relative loss in the leader s value due to the follower s entry is affected by economic and technological uncertainty as well as risk aversion and how the risk of pre emption under increasing economic uncertainty raises the value of direct investment in the new technology relative to stepwise investment