welfare aspects of technological adoption with learning abstract this paper considers the welfare implications of adoption of a new technology when this technology is characterized by costs of adaptation and some localized learning effects a two period model is developed to represent the adoption game between firms in a duopolistic framework optimal social patterns of adoption are compared with private patterns emerging as equilibria of the game it is shown that differences between the two patterns are due first to the shape of the demand function of the product sold on the duopolistic market and secondly to strategic interaction effects between the adopting firms

hitting the jackpot product proliferation by multiproduct firms under uncertainty this paper presents a model of product proliferation by multiproduct firms under uncertainty firms introduce new differentiated products because they want to hit as many jackpots as possible products with high profits and long lives there is uncertainty about the success of new products as the probability of hitting a jackpot increases product proliferation increases more products are introduced and expected in equilibrium the expected number of products in equilibrium is always less than at the optimum but in industries with multiple firms as the probability of hitting a jackpot increases rivalry intensifies and that gap shrinks

oil prices and the stock prices of alternative energy companies energy security issues coupled with increased concern over the natural environment are driving factors behind oil price movements while it is widely accepted that rising oil prices are good for the financial performance of alternative energy companies there has been relatively little statistical work done to measure just how sensitive the financial performance of alternative energy companies are to changes in oil prices in this paper a four variable vector autoregression model is developed and estimated in order to investigate the empirical relationship between alternative energy stock prices technology stock prices oil prices and interest rates our results show technology stock prices and oil prices each individually granger cause the stock prices of alternative energy companies simulation results show that a shock to technology stock prices has a larger impact on alternative energy stock prices than does a shock to oil prices these results should be of use to investors managers and policy makers

impacts of oil implied volatility shocks on stock implied volatility in china empirical evidence from a quantile regression approach abstract this paper investigates the impacts of changes in the implied volatility index of the oil market ovx on the changes in the implied volatility index of the chinese stock market vxfxi a quantile regression approach is applied to our empirical analysis as this approach can perform a more detailed investigation under different market conditions moreover we test whether the vxfxi changes would respond with lags and asymmetry to the ovx changes our empirical results show that the impacts of the ovx changes on the vxfxi changes are positive and tend to be stronger in bearish markets furthermore the results of testing lagged effects reveal that strong linkages between the two variables are transient in different market conditions which don t support the gradual information diffusion hypothesis very well finally we find that the ovx changes can asymmetrically affect the vxfxi changes specifically the negative ovx changes have stronger effects under bullish market conditions while the positive ovx changes play a more important role during bearish periods

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

volatility spillovers between oil prices and stock sector returns implications for portfolio management abstract in this article we take a recent generalized var garch approach to examine the extent of volatility transmission between oil and stock markets in europe and the united states at the sector level the empirical model is advantageous in that it typically allows simultaneous shock transmission in the conditional returns and volatilities insofar as volatility transmission across oil and stock sector markets is a crucial element for portfolio designs and risk management we also analyze the optimal weights and hedge ratios for oil stock portfolio holdings with respect to the results our findings point to the existence of significant volatility spillover between oil and sector stock returns however the spillover is usually unidirectional from oil markets to stock markets in europe but bidirectional in the united states our back testing procedures finally suggest that taking the cross market volatility spillovers estimated from the var garch models often leads to diversification benefits and hedging effectiveness better than those of commonly used multivariate volatility models such as the ccc garch of bollerslev 1990 the diagonal bekk garch of engle and kroner 1995 and the dcc garch of engle 2002

sources procedures and microeconomic effects of innovation fabio arcangeli paul david frank engelman christopher freeman massimo moggi richard nelson luigi orsenigo nathan rosenberg michele salvati g n von tunzelman two anonymous referees and the participants at the meeting of the committee on distribution growth and technical progress of the italian national research council cnr rome november 16 1985 have helped with various redraftings a particularly grateful acknowledgment is for the insightful and patient help of moses abramovitz this work has been undertaken at the science policy research unit spru university of sussex as part of the research program of the designated research centre sponsored by the economic and social research council esrc earlier support to the research that led to this paper by the italian national research council cnr is also gratefully acknowledged the statistical research has been undertaken with the assistance of stephano brioschi ilaria fornari and giovannu prennushi

modeling multiattribute utility risk and belief dynamics for new consumer durable brand choice this paper proposes a brand choice model to aid in the prelaunch management of a new consumer durable entry in an existing category the model contributes to theory by integrating the critical phenomena of multiattribute preference risk and dynamics in an individual level expected utility framework the integration is based on established theoretical constructs in utility bayesian decision analysis and discrete choice theory measurement and estimation procedures are presented an application is described and the managerial relevance of this work as a planning and forecasting tool is examined

motives to adopt renewable electricity technologies evidence from sweden the diffusion of renewable electricity technologies rets has to speed up for countries to reach their often ambitious targets for renewable energy generation this requires a large number of actors including individuals companies and other organizations to adopt rets policies will most likely be needed to induce adoption but there is limited knowledge about what motivates ret adoption the purpose of this paper is to complement and expand the available empirical evidence regarding motives to adopt rets through a survey to over 600 ret adopters in sweden the main finding of the study is that there are many different motives to adopt rets and that ret adopters are a heterogeneous group with regard to motives although environmental concerns interest in the technology access to an re resource and prospects to generate economic revenues are important motives in general adopters differ with regard to how large importance they attach to the same motive and each adopter can also have several different motives to adopt there are also differences in motives between adopter categories especially independent power producers vs individuals and diversified companies and between rets especially wind power vs solar power this implies that a variety of policy instruments might be needed to induce further adoption of a variety of rets by a variety of adopter categories

the effects of expectations on technology adoption some empirical evidence n rosenberg 1976 argues that in many markets prospective buyers for an innovation are strongly influenced by expectations concerning the timing and significance of future improvements the primary objectives of this article are to provide a model of the innovation decision process of user firms that expect improvements in current best technology and to offer an empirical study that tests the model s predictions among other results the author finds empirical support for rosenberg s argument and demonstrates theoretically that compared to models without technological expectations and learning the optimal decision process is nonmonotonic copyright 1994 by blackwell publishing ltd

evaluation of regulatory impacts on dynamic behavior of investments in electricity markets a new hybrid dp game framework a new hybrid framework based on game theory and dynamic programming dp with random demands and prices is proposed for studying the impacts of regulatory interventions on the dynamics of investment in power generation in electricity markets in our approach using markov chains the electric demand and growth of fuel prices have been modeled dp has been used for solving the generation expansion planning gep problem investment strategies of other investors in the market are modeled as constraints the income of the investor is calculated by modeling strategic interactions among market players in the spot energy market the cournot game concept has been applied and the nash equilibrium is calculated for each state and stage of dp simulation results confirm that the proposed framework is an appropriate decision support tool that provides useful information about dynamics of investment

the demand for information and the diffusion of a new product abstract the paper examines the implications of the ability of a consumer to learn about the characteristics of a new product on the diffusion of the product over time the demand for information by the consumer is shown to generate a sigmoid diffusion curve for total sales of the product further it is shown that over time the elasticity of demand along the diffusion curve increases

discontinuous adoption paths with dynamic scale economies this paper examines the equilibrium adoption patch for two innovations when there are network externalities we show that the existence of significant increasing returns in system scale can give the result that one variant will drive out the other one and so emerges as the unique standard for the industry moreover if network externalities are sufficiently strong then the equilibrium adoption path is discontinuous that is it includes a catastrophe point

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

modeling and forecasting the volatility of carbon emission market the role of outliers time varying jumps and oil price risk abstract the objectives of this study are three fold first we aim to assess whether outliers or extreme observations occur in the european union allowance eua data second we examine if time varying jumps are present in the carbon emission market third we use the crude oil volatility index ovx to investigate the effect of oil market uncertainty on the emission price volatility in order to detect the possible outliers in the eua market we employ a standard methodology proposed by ane et al 2008 and identify several outliers in the emission data after spotting and then removing those extreme points we apply the garch jump models to both original and outlier free observations the results of the jump model show that while time varying jumps do exist in the uncorrected data most of the jump parameters however become insignificant in case of outlier free observations next the application of an extended egarch model in which ovx is introduced in the garch specification demonstrates that emission prices are highly sensitive to oil market implied volatility and that the impact of ovx on the eua market appears to be asymmetric additionally the use of forecast encompassing test documents that considering the outlier free data and using the information content of ovx would improve the volatility forecasts for the carbon emission market the results of our research carry important implications for both investors and policymakers

uncertainty competition and the adoption of new technology faced with the decision of whether or not to adopt a new technology whose economic value cannot be gauged with certainty the manager of the firm may elect to decrease the uncertainty by sequentially gathering information at a unit cost of c 0 updating his prior beliefs in a bayesian manner uncertainty regarding the actions of a competitor however cannot be reduced our model allows a manager to account for potential competition either substitute or complementary by inclusion of strategic considerations modelled in a game theoretic setting we show that the firm s best response mapping satisfies a dynamic programming recursion even when the one period reward function is unbounded providing management with a familiar tool to solve its problem best response behavior is characterized by a monotone sequence of pairs of threshold numbers which give rise to a cone shaped continuation region the continuation region is shown to shift up down with increases in the expected level of substitute complementary competition making the firm less more likely to adopt the innovation finally the existence of a nash equilibrium in cone shaped strategies is established

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

how do the stock prices of new energy and fossil fuel companies correlate evidence from china abstract this study documents the return and volatility spillover effect between the stock prices of chinese new energy and fossil fuel companies using the asymmetric bekk model based on daily samples taken from august 30 2006 to september 11 2012 the dynamics of new energy fossil fuel stock spillover are found to be significant and asymmetric compared with positive news negative news about new energy and fossil fuel stock returns leads to larger return changes in their counter assets news about both new energy and fossil fuel stock returns spills over into variances of their counter assets and the volatility spillovers depend complexly on the respective signs of the return shocks of each asset the empirical results demonstrate that new energy and fossil fuel stocks are generally viewed as competing assets that positive news about new energy stocks could affect the attractiveness of fossil fuel stocks and that new energy stock investment is more speculative and riskier than fossil fuel stock investment these results have potential implications for asset allocation financial risk management and energy policymaking

dynamic connectedness between oil prices and stock returns of clean energy and technology companies abstract this study employs wavelet coherency phase differences and spillover analysis to examine the dynamic connectedness between oil prices and stock returns of clean energy and technology companies multivariate generalised auto regressive conditional heteroscedasticity models are used to examine the conditional correlations hedging performance and to make a portfolio strategy the wavelet coherency analysis shows a weak degree of association between oil prices and clean energy stock returns and between oil prices and technology companies stock returns in time and frequency scales the phase differences study shows that all series move cyclically with technology stock returns leading oil prices and stock returns of clean energy companies furthermore the volatility spillovers findings reveal that the overall connectedness of the system is 0 43 while the degree of connectedness is greater at lower frequencies 1 4 days than at higher frequencies more than 4 days the results also suggest that the volatility is transmitted from technology companies to oil and clean energy markets at all frequencies and over the whole period policy implications and hedging and portfolio options are discussed

the directional volatility connectedness between crude oil and equity markets new evidence from implied volatility indexes in this paper we use a set of newly introduced implied volatility indexes to investigate the directional connectedness between oil and equities in eleven major stock exchanges around the globe from 2008 to 2015 the inference on the oil equity implied volatility relationships depends on diebold and yilmaz 2012 2014 2015 who proposed a set of directional measures that enable the dynamic and directional characterization of the relationships among financial variables we find uniform results across the sample countries indicating that the connectedness between oil and equity is established by the bi directional information spillovers between the two markets however we find that the bulk of association is largely dominated by the transmissions from the oil market to equity markets and not the other way around the pattern of transmissions is varying over the sample period however most of the linkages between oil and equities are established from the mid of 2009 to the mid of 2012 which is a period that witnessed the start of global recovery

impact of food price volatility on the us restaurant sector although fluctuations in agricultural commodity prices appear to be a source of risk to the us restaurant sector the effect that volatility of food price has on the performance returns of that s

deutsche mark dollar volatility intraday activity patterns macroeconomic announcements and longer run dependencies this paper provides a detailed characterization of the volatility in the deutsche mark dollar foreign exchange market using an annual sample of five minute returns the approach captures the intraday activity patterns the macroeconomic announcements and the volatility persistence arch known from daily returns the different features are separately quantified and shown to account for a substantial fraction of return variability both at the intraday and daily level the implications of the results for the interpretation of the fundamental driving forces behind the volatility process is also discussed the efficient market hypothesis contends that financial asset prices provide rational assessments of fundamental values and future payoffs by implication price changes should reflect the arrival and processing of all relevant new information however the proportion of return variability that can be ascribed to public news announcements is low for example cutler poterba and summers 1989 find that even the largest daily price changes in the stock market generally cannot be associated with any significant economic news 1 moreover proxies for the flow of public information e g the number of news items released by reuter s news service berry and hiowe 1994 or dow jones company mitchell and mulherin 1994 explain little of the overall variation thus if private information is ruled out proponents of rational price formation have to assert the existence of important news items

innovation adoption and diffusion when there are competing innovations abstract firms face a choice between two innovations without knowing which of the two is better each firm has a prior that one of the innovations is better which is updated by bayes rule as trials with the innovations are made a simple decision rule indicating which innovation should be tried given any posterior is derived and used to define an expected diffusion curve for the better innovation this curve has the commonly observed ogive shape even in the absence of any external demonstration effect when the distribution of firm priors belongs to a general class

the dynamic dependence of fossil energy investor sentiment and renewable energy stock markets abstract this study investigates the dynamic directional information spillover of return and volatility between the fossil energy market investor sentiment towards renewable energy and the renewable energy stock market using the connectedness network approach empirical results show that the spillover effects of the volatility system are generally stronger than that of the return system which suggest that risk transmission among the markets is more obvious in both systems the impact of the fossil energy market especially crude oil on the renewable energy stock market is greater than the impact of investor sentiment on the renewable energy stock market this finding shows that the renewable energy stock market is closely related to the fossil energy market furthermore the rolling window approach is adopted to examine the time varying information spillover among them the dynamic findings suggest that investor sentiment towards renewable energy can explain the return and volatility of renewable energy stock to a certain degree

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

do green investments react to oil price shocks implications for sustainable development abstract this study investigates whether green investments are connected to oil price shocks while earlier papers mainly investigate the linkage between clean energy stock and crude oil prices we consider recently introduced environmental indexes consisting of companies that use eco friendly production processes and develop green infrastructures using the markov regime switching regression approach we observe that the effect of crude oil prices on environmental investments appears to be statistically insignificant albeit positive in most of the cases one possible reason behind such a finding is that the oil dependence is limited to the case of eco friendly firms the results further indicate switching between low and high volatility regimes implying that there exist high and low volatility states for green assets given that growing concerns about climate change and energy security would inspire market participants shift towards ethical investments our results could be of interest to investors aiming at decarbonizing their portfolios by including more environmental assets one important finding of our empirical analysis is that green assets are found to be more susceptible to oil market volatility rather than to oil price fluctuations this is a novel finding given that prior literature focusing on the association of oil sectors and green assets mainly consider the information on oil prices rather than oil volatility hence our study aims to conceal an important void in the exiting literature

assessment and optimization of clean energy equity risks and commodity price volatility indexes implications for sustainability abstract although clean energy equities have emerged as a new asset class for market participants especially environmentally concerned investors existing and previous studies pay very little attention to how equity investors in clean energy markets can reduce their downside risk the authors of this paper address this void by considering the roles of the commodity market volatility indexes of crude oil gold and silver the results of the dynamic conditional correlation model show that commodity volatilities and clean energy equity prices move in opposite directions based on the hedging effectiveness each of the three volatility indexes acts as an effective tool for reducing the risk of clean energy equity indexes the implied volatility index of crude oil is the most effective tool followed by that of gold and silver further analysis indicates the robustness of the results to the application of an asymmetric conditional correlation model the findings extend the limited understanding of how to hedge the downside risk of clean energy stock indexes and provide useful implications to market participants on the ability of implied volatility indexes of major commodities to hedge that risk

oil shocks and their impact on energy related stocks in china abstract this paper contributes to the current literature by adopting time varying conditional correlation and asset pricing models to discover how the dynamics of international oil prices affect energy related stock returns in china after conditioning for structural instability the results show a much stronger relation following the 2008 financial crisis we argue that this reflects the fact that investors in the chinese stock market especially for energy related stocks are more sensitive to the shocks in international crude oil market

boom and bust patterns in the adoption of financial innovations we develop a dynamic model of the adoption of financial innovations each period firms decide whether or not to adopt an innovation of uncertain value and the profitability of each period s adoptions reveals information about the innovation s value we show that characteristics of financial innovation waves cited by critics as evidence of irrational excess are in fact consistent with fully rational behavior we also show that social welfare is enhanced when more firms adopt innovations of questionable value and that financial intermediaries base an incentive to encourage such adoption article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

human capital information and the early adoption of new technology when producers are uncertain or have imperfect information about the profitability of adopting new technology their adoption behavior depends on the endowment of human capital and the investment in adoption information this study analyzes the role of education experience and information acquisition in the decision to be an early adopter the findings support the hypothesis that adoption decision making is a human capital intensive activity the econometric evidence presented suggests that education and information reduce adoption costs and uncertainty and thereby raise the probability of early adoption adoption behavior is also shown to vary significantly across firm size

appropriability and commercialization evidence from mit inventions the effects of appropriability on invention have been well studied but there has been little analysis of the effect of appropriability on the commercialization of existing inventions exploiting a database of 805 attempts by private firms to commercialize inventions licensed from the massachusetts institute of technology mit between 1980 and 1996 we explore the influence of several appropriability mechanisms on the commercialization and termination of projects to develop products based on university inventions our central hypothesis is that the relationship between a licensee s decision to either terminate or commercialize the invention is driven by the current market value of the invention as well as the option value of delaying its commercialization we use a competing risks framework that allows for nonparametric heterogeneity and correlated risks we find that better appropriability in the sense of more effective patent strength and secrecy has a strong negative effect on the hazard of license termination the effectiveness of learning has a strong positive effect on the hazard of technology commercialization while lead time has a negative effect

asymmetric effects of oil price shocks on stock returns evidence from a two stage markov regime switching approach abstractthe asymmetric effects of oil price shocks on stock returns have attracted the attention of many researchers in the past several decades most of these researchers studies however do not separate out the sources of oil price shocks when examining the asymmetric effects in this article we address this limitation using a two stage markov regime switching approach our results indicate that oil supply and demand shocks have a null or minimal impact on stock returns in a low volatility regime and a statistically significant impact in a high volatility regime we observe that oil demand shocks affect stock returns significantly more than oil supply shocks a positive aggregate demand shock significantly increases stock returns whereas a positive oil specific demand shock markedly decreases stock returns these results have important implications for policymakers and investors

asymmetric and extreme influence of energy price changes on renewable energy stock performance abstract promoting the development of renewable energy has become the key factor to solve the problems of energy and climate change issues however its development is largely constrained by the prices of traditional fossil energy this paper explores the influence of various fossil energy price changes on renewable energy stock returns using a network approach specifically a positive and negative returns network and value at risk var network are constructed separately for identifying the asymmetric and extreme information spillover our findings show the fossil energy renewable energy network system has a relatively high level of interdependence the electricity market behaves as the major contributor to the changes of renewable energy returns in the returns connectedness network while oil and coal contribute most to the changes of renewable energy returns in the var connectedness network the dynamic results show that the contributions of fossil energy price changes to renewable energy returns have strong time varying pattern with high volatility over time the total connectedness in the positive returns network is slightly stronger than that in the negative returns network for most of the time during our sample period

wavelet based test of co movement and causality between oil and renewable energy stock prices abstract we studied co movement and causality between oil and renewable energy stock prices using continuous and discrete wavelets firstly to obtain information on dynamic correlations over time and for different time scales from wavelet coherence and secondly to obtain information on linear and non linear granger causality in the time frequency domain for general and sectoral renewable energy indices for the period 2006 2015 our findings indicate that dependence between oil and renewable energy returns in the short run was weak but gradually strengthened towards the long run mainly for the period 2008 2012 our causality tests provide evidence against linear causality at higher frequencies and in favour of unidirectional and bidirectional linear causality at lower frequencies in contrast we found consistent evidence of non linear causality running from renewable energy indices to oil prices at different time horizons and mixed evidence of causality running from oil to renewable energy prices these results have potential implications for investors in terms of hedging and for policymakers in terms of policy support decisions regarding the development of renewable energy

uncertain search a model of search among technologies of uncertain values in the standard search problem there is an infinite pool of items whose distribution of values is known a decision maker draws an item from the pool observes its value and decides whether to keep it or to draw another item he can keep only one item and he seeks the item with the largest value in the standard uncertainty resolution problem there is only one item and the value of that item remains uncertain even after it is drawn the decision maker sequentially collects observations on the value of the item and decides whether to keep the item discard the item or take another observation uncertain search marries the sequential drawing from a pool of items from the search literature with the unknown value of a drawn item from the uncertainty resolution literature presented in the context of technology adoption it considers drawing from a pool of new technologies whose values remain unknown even after being drawn the decision maker sequentially purchases information in order to bayesianly update

modeling renewable energy company risk abstract the renewable energy sector is one of the fastest growing components of the energy industry and along with this increased demand for renewable energy there has been an increase in investing and financing activities the tradeoff between risk and return in the renewable energy sector is however precarious renewable energy companies are often among the riskiest types of companies to invest in and for this reason it is necessary to have a good understanding of the risk factors this paper uses a variable beta model to investigate the determinants of renewable energy company risk the empirical results show that company sales growth has a negative impact on company risk while oil price increases have a positive impact on company risk when oil price returns are positive and moderate increases in sales growth can offset the impact of oil price returns and this leads to lower systematic risk

oil price shocks and stock markets in the u s and 13 european countries abstract oil price shocks have a statistically significant impact on real stock returns contemporaneously and or within the following month in the u s and 13 european countries over 1986 1 2005 12 norway as an oil exporter shows a statistically significantly positive response of real stock returns to an oil price increase the median result from variance decomposition analysis is that oil price shocks account for a statistically significant 6 of the volatility in real stock returns for many european countries but not for the u s increased volatility of oil prices significantly depresses real stock returns the contribution of oil price shocks to variability in real stock returns in the u s and most other countries is greater than that of interest rate an increase in real oil price is associated with a significant increase in the short term interest rate in the u s and eight out of 13 european countries within one or two months counter to findings for the u s and for norway there is little evidence of asymmetric effects on real stock returns of positive and negative oil price shocks for oil importing european countries

innovation firm size and growth in a centralized organization the optimal innovation firm size and growth are derived for a centrally controlled firm in which only the entrepreneur evaluates and restores current projects or evaluates and adopts new projects current projects are subject to failure due to entry and possible obsolescence while new projects may not be successful the optimal allocation of attention implies bounds on firm size and that the rate of innovation depends not only on monopoly profits firm size and technological opportunity but also on the probability of obsolescence the effects of monopoly power and firm size on innovation also depend on the degree of obsolescence

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

time and frequency dynamics of connectedness between renewable energy stocks and crude oil prices abstract this paper examines the time and frequency dynamics of connectedness among stock prices of u s clean energy companies crude oil prices and a number of key financial variables using the methodology developed by barunik and krehlik 2018 this approach allows measuring the dynamics of return and volatility connectedness over time and across frequencies simultaneously the empirical results show that most of return and volatility connectedness is generated in the very short term i e movements up to five days while the long term plays a minor role our analysis further reveals a greater degree of interconnectedness across crude oil and financial markets since the onset of the u s subprime mortgage crisis in summer of 2007 consistent with the view of a global re pricing of risk triggered by the recent worldwide financial crisis crude oil prices do not appear as a key driver of the stock market performance of renewable energy companies in the short term or the long term which suggests a decoupling of the alternative energy industry from the traditional energy market moreover crude oil prices are a net receiver of financial shocks supporting the financialization of the commodity markets since the early 2000s in addition a significant pairwise connectedness is found mainly in the short term between clean energy and technology stock prices indicating that these two types of stocks are perceived by investors as similar assets these results can have important practical implications for investors and policy makers with different time horizons

oil price uncertainty and clean energy stock returns new evidence from crude oil volatility index abstract earlier studies evidence that oil price shocks have significant impacts on clean energy stock returns while the previous literature uses traditional oil price series to investigate such effects we aim to assess whether the variance of alternative energy stock returns can be explained using the information content of crude oil volatility index ovx an indicator of oil price uncertainty to serve our purpose we employ several measures to frame the realized volatility rv of alternative energy sector equity returns in particular we use three different range based rv estimators recommended by parkinson 1980 rogers and satchell 1991 and alizadeh et al 2002 respectively our findings reveal that clean energy stock market returns are highly sensitive to ovx shocks thus oil market uncertainty measured by ovx embodies a crucial role in modeling the volatility of renewable energy equity returns in addition we find a strong indication that ovx provides additional information beyond what is contained in the historical volatilities of equity returns we also document that the magnitude of the effect of ovx is much bigger than that of the realized variance of wti oil spot prices finally we find that the information content of crude oil volatility index improves the volatility forecasts for the clean energy equity market

correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies abstract in this paper multivariate garch models are used to model conditional correlations and to analyze the volatility spillovers between oil prices and the stock prices of clean energy companies and technology companies four different multivariate garch models bekk diagonal constant conditional correlation and dynamic conditional correlation are compared and contrasted the dynamic conditional correlation model is found to fit the data the best and generates results showing that the stock prices of clean energy companies correlate more highly with technology stock prices than with oil prices on average a 1 long position in clean energy companies can be hedged for 20 cents with a short position in the crude oil futures market

something to talk about social spillovers in movie consumption we exploit the randomness of weather and the relationship between weather and moviegoing to quantify social spillovers in movie consumption instrumenting for early viewership with plausibly exogenous weather shocks captured in lasso chosen instruments we find that shocks to opening weekend viewership are doubled over the following five weekends our estimated momentum arises almost exclusively at the local level and we find no evidence that it varies with either ex post movie quality or the precision of ex ante information about movie quality suggesting that the observed momentum is driven in part by a preference for shared experience and not only by social learning

information acquisition and the adoption of new technology the profitability of a new technology is rarely known with certainty at its announcement date consequently prior to making an adoption decision it behooves the firm considering the adoption of this innovation to reduce the level of uncertainty associated with its profitability the firm accomplishes this by sequentially gathering information updating its prior estimate of profitability in a bayesian manner quantifying the uncertainty regarding the innovation permits application of dynamic programming techniques criteria are derived which tell the firm when to stop collecting information and make the adoption decision it will be shown that it is optimal for the firm to continue to collect information until its estimate of profitability crosses one of two thresholds upon crossing the upper threshold the firm adopts the technology whereas the firm rejects the technology if the lower threshold is crossed the model predicts that even the manager who behaves optimally will occasionally adopt unprofitable technologies and reject profitable ones

second mover advantages in the strategic adoption of new technology under uncertainty abstract this paper introduces technological uncertainty into a timing game of new technology adoption it is shown that the timing neither necessarily involves first mover advantages in precommitment equilibria reinganum review of economic studies xlviii 1981 395 405 nor rent equalization due to the threat of preemption fudenberg and tirole review of economic studies lii 1985 383 401 rather there may be second mover advantages because of informational spillovers furthermore the model predicts that the equilibrium payoffs will typically be discontinuous and non monotonic in the probability that the new technology is profitable a welfare analysis reveals several market failures and suggests that policy intervention should adequately depend on the nature of uncertainty and the rate of technological progress

technology choice and timing with positive network effects abstract when two competing and incompatible products coexist in a market potential users face a choice between the two products and the alternative of deferring the decision this paper examines the choice between the two substitutes where each one is subject to a positive network effect that is a user of one of the products experiences an increase in the value for each additional person using the same product we examine this buy or wait problem either for an individual or a manager making the investment on behalf of a firm by formulating and analyzing a decision theoretic model to model the stochastic evolution of market share we build on the generalized polya urn of arthur et al arthur w b ermoliev y m kaniovski y m 1987 path dependent processes and the emergence of macro structure european journal of operational research 30 3 294 303 allowing for composition of the market to affect not just the relative market shares but also the absolute growth rate of the market we show that the optimal strategy is defined by a pair of market penetration thresholds that depend on the market composition looking at the effect of the network effects on the optimal strategy we find that more pronounced network effects can either raise or lower the penetration thresholds

variances of security price returns based on high low and closing prices in a recent paper garman and klass 1980 studied the problem of estimating capital asset price volatility parameters developing an idea first introduced by parkinson 1980 they argue that improved volatility measures can be obtained by taking into account the daily high low and opening prices in addition to the traditionally used closing prices this paper is concerned mainly with testing the empirical validity of different volatility estimators based on high low and closing prices

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

stock prices of clean energy firms oil and carbon markets a vector autoregressive analysis recent discussions of energy security and climate change have attracted significant attention to clean energy we hypothesize that rising prices of conventional energy and or placement of a price on carbon emissions would encourage investments in clean energy firms the data from three clean energy indices show that oil prices and technology stock prices separately affect the stock prices of clean energy firms however the data fail to demonstrate a significant relationship between carbon prices and the stock prices of the firms

impact of silver price uncertainty on solar energy firms abstract to the best of our knowledge we are the first to investigate if silver market uncertainty impacts the stock price performance of solar energy firms such investigation could be of vital importance to investors and policymakers given that silver is heavily utilized in photovoltaic pv process for producing solar energy methodologically we apply the garch jump process to estimate the effect of silver market uncertainty proxied by silver volatility index vxslv on the global solar energy stock indexes using a recent data set we document the following key findings first there exists a negative effect of vxslv on the equity indexes under study this result suggests that an upsurge in silver market volatility would create a chaos in the solar energy business second the impact of silver volatility index on renewable energy firms holds even when we control for the impact of oil price volatility ovx albeit ovx when compared to vxslv transmits higher risk to alternative energy stocks as evidenced by the magnitudes of the estimated parameters third the impact of silver market uncertainty appears to be symmetric implying that increases and decreases in vxslv would have a homogeneous impact on the solar energy stock returns we finally show that equity prices of solar energy firms are characterized by time varying jumps the implications of the results are discussed as well

impact of bayesian learning and externalities on strategic investment we investigate the interplay between learning effects and externalities in the problem of competitive investments with uncertain returns we examine a game theoretic duopoly investment model in which i a firm can learn about the profitability of the investment by observing the performance of the first mover and ii externalities exist between the investments of two firms we find a region of a war of attrition between the two firms in which the interplay between externalities and learning gives rise to counterintuitive effects on investment strategies and payoffs in particular we find that contrary to the conventional war of attrition where an increase in benefits for the follower generally delays the first move an increase in the rate of learning which tends to benefit the follower can hasten the first investment this paper was accepted by james smith decision analysis

endogenous diffusion of technology abstract this paper presents a positive theory of diffusion of technology it examines a two period model strategic firms are confronted by a process technology with an uncertain reduction in marginal costs the uncertainty is automatically resolved between the two periods adoption in the first period yields a leadership advantage relative to firms that do not adopt while simultaneous adoption by firms results in a cournot equilibrium the firms strategies are both production quantities and adoption timings these decisions are made at the same time thus firms face a trade off between early adoption and possibly reaping first mover advantages on one hand and deferring the adoption decision until after all the uncertainty is resolved but face the possibiity of being a follower in the market interestingly an endogenously determined diffusion rate is obtained as a pure strategy nash equilibrium of this game this means that while adoption and diffusion of technology results with probability one diffusion of a bad innovation is also possible it is also shown that in a market with one large firm and a nonatomic continuum of small firms there is a unique nash equilibrium in which the large firm adopts first and is a stackelberg leader and all the small firms decide whether or not to adopt after the uncertainty is resolved the implication of this result is simply that the diffusion of technology is to some extent determined by the relative size of firms in the industry

dynamic patent licensing abstract this paper shows one way a fixed fee can dominate an auction if no one knows whether the innovation will succeed or not when it appears and if its life exceeds the life of the patent then selling one licence by fixed fee maximizes inventor profit for some probabilities of success the reason is a nonlicensee is better off when a rival buys a license because this reveals the nature of the innovation if it succeeds the nonlicensee can adopt in the future after the patent has expired this expected future gain can outweigh the expected loss during the life of the patent

the effect of global oil price shocks on china s metal markets this paper investigated the impacts of global oil price shocks on the whole metal market and two typical metal markets copper and aluminum we applied the autoregressive conditional jump intensity arji model combining with the generalized conditional heteroscedasticity grach method to describe the volatility process and jump behavior in the global oil market we separated the oil price shocks into positive and negative parts to analyze whether oil price volatility had symmetric impacts on china s metal markets we further used the likelihood ratio test to examine the symmetric effect of oil price shocks in addition we considered the jump behavior in oil prices as an input factor to investigate how china s metal markets are affected when jumps occur in the global oil market in contrast to the existing research paying little attention to this issue our results indicate that crude oil price shocks have significant impacts on china s metal markets and the impacts are symmetric when compared with aluminum copper is more easily affected by oil price shocks

cross quantilogram based correlation and dependence between renewable energy stock and other asset classes abstract we study the cross quantile dependence of renewable energy re stock returns on aggregate stock returns changes in oil and gold prices and exchange rates applying a recently developed cross quantilogram approach we provide two novel findings first although prior studies show that re stock returns have a positive dependence on changes in oil prices and in the aggregate stock index we find that the relationship is not symmetric across quantiles and that this asymmetry is higher in longer lags second while the extant literature provides evidence that exchange rates and gold returns exert a positive influence on aggregate stock returns we report that this positive influence on re stock returns is observed only during extreme market conditions these results are robust i even after controlling for economic policy and equity market uncertainties as well as ii in both a time static full sample and recursive subsamples

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

is there dependence and systemic risk between oil and renewable energy stock prices abstract we study systemic risk and dependence between oil and renewable energy markets using copulas to characterize the dependence structure and to compute the conditional value at risk as a measure of systemic risk we found significant time varying average and symmetric tail dependence between oil returns and several global and sectoral renewable energy indices our evidence on systemic risk indicates that oil price dynamics significantly contributes around 30 to downside and upside risk of renewable energy companies these results have important implications for risk management and renewable energy policies

asymmetric impacts of oil price uncertainty on chinese stock returns under different market conditions evidence from oil volatility index abstract the crude oil volatility index ovx is a direct and more accurate measure of oil price uncertainty this paper uses this kind of implied volatility index of oil prices to investigate the impacts of oil price uncertainty on the aggregate and sectoral stock returns in china this issue is resolved by using a quantile regression which can provide a more detailed examination under different market conditions meanwhile the asymmetric effects of uncertainty shocks are also examined by using the positive and negative changes of the ovx furthermore we assess whether the reform of march 27 2013 affected the ovx stock nexus since this reform was a major step to relax the control of domestic oil prices in china our results reveal that ovx changes mainly show significantly negative effects on the aggregate and sectoral stock returns in the bearish market in particular these effects depend largely on the positive shocks of the ovx rather than the negative shocks of the ovx moreover the reform of march 27 2013 decreased the impacts of the positive ovx shocks on chinese stock returns

the forecasting accuracy of implied volatility from ecx carbon options abstract this study analyzes the forecasting accuracy of the implied volatility of options on futures contracts for the delivery of co 2 emission allowances carbon options traded on the european climate exchange we demonstrate that option implied volatility is highly informative about the variance of returns realized over the remaining life of the options it is also directionally accurate in predicting future volatility changes however we also find that implied volatility of carbon options is biased especially for periods of time which do not coincide with the remaining life of the option this suggests that the market has yet to fully mature