effects of renewables on the stylized facts of electricity prices abstract many countries around the world have increased their renewable installed capacity due to a greater awareness of climate concerns under this new framework with renewables being among the main generation sources the literature warns of a dramatic change in price behaviour some of the most commonly claimed effects of having a significant proportion of renewable generating sources in the total electricity production mix include i a systematic decrease in overall wholesale market prices ii a higher occurrence of price jumps and iii a significant increase in price volatility the goal of the present study is to test whether these changes in price behaviour have actually come about to do so we focus on the spanish day ahead electricity market as a paradigmatic example in line with the literature it is found a statistically negative relationship between the renewable generation share and the day ahead market marginal prices as well we have obtained statistical confirmation of the fact that renewables generation share volatility is transferred to price volatility though similarly to other generation technologies finally in contrast to the general belief that the introduction of renewable generation would give rise to extreme positive prices according to our results increases in renewables generation share reduce the probability of upward jumps in prices the results obtained are of interest for portfolio managers practitioners and regulators

on jumps and arch effects in natural resource prices an application to pacific northwest stumpage prices continuous time models of natural resource prices usually preclude the possibility of large changes jumps resulting from unexpected events to test for the presence of jumps and or arch effects we combine bounds and the monte carlo test technique to obtain finite sample level exact p values we apply this methodology to stumpage prices from the pacific northwest and find evidence of jumps and arch effects to assess the impact of neglecting jumps on the decision to harvest old growth timber we develop an autonomous infinite horizon stopping model for which we provide a new method of resolution our numerical results show the importance of modeling jumps explicitly copyright 2002 oxford university press

dynamic asset allocation with event risk major events often trigger abrupt changes in stock prices and volatility we study the implications of jumps in prices and volatility on investment strategies using the event risk framework of duffie pan and singleton 2000 we provide analytical solutions to the optimal portfolio problem event risk dramatically affects the optimal strategy an investor facing event risk is less willing to take leveraged or short positions the investor acts as if some portion of his wealth may become illiquid and the optimal strategy blends both dynamic and buy and hold strategies jumps in prices and volatility both have important effects

the message in weekly exchange rates in the european monetary system mean reversion conditional heteroscedasticity and jumps weekly rates of the european monetary system ems vis a vis the deutsche mark from april 1979 to march 1991 are modeled as a combined ma 1 garch 1 1 jump process the moving average ma part accounts for mean reversion required for the rates to stay inside the target zone the generalized autoregressive conditional heteroscedasticity garch part accounts for changing volatility whereas the jump process models parity changes and other erratic movements using an adjusted pearson chi squared goodness of fit test we find similar results for the bernoulli and the poisson jump processes in those cases in which the bernoulli normal distribution does not pass the goodness of fit test a mixture of three normals does finally the ma 1 garch 1 1 bernoulli jump models are jointly estimated assuming a constant contemporaneous correlation matrix for the disturbances and a common jump probability for all the currencies

one security many markets determining the contributions to price discovery when homogeneous or closely linked securities trade in multiple markets it is often of interest to determine where price discovery the incorporation of new information occurs this article suggests an econometric approach based on an implicit unobservable efficient price common to all markets the information share associated with a particular market is defined as the proportional contribution of that market s innovations to the innovation in the common efficient price applied to quotes for the thirty dow stocks the technique suggests that the preponderance of the price discovery takes place at the new york stock exchange nyse a median 92 7 percent information share although most of the classic paradigms in market microstructure concern a security that trades in a single centralized market such situations are becoming increasingly rare in practice fragmentation the dispersal of trading in a security to multiple sites has emerged as a dominant institutional trend this process is of concern to financial economists and regulators because price information and price discovery the impounding of new information into the security price arguably the most important products of a security market have many attributes of public goods as the process of fragmentation accelerates it may be important to determine where the price information and price discovery are being produced 1 this paper suggests a practical econometric approach to this problem the technique is illustrated with an application to u s equity markets many stocks listed on the new york stock exchange nyse trade concurrently on the regional exchanges and the national association of securities dealers national market system nasd nms since a share of ibm stock is the same security whether purchased on the midwest or pacific exchange this is a particularly clear instance of multiple markets nevertheless the expres

option valuation with co integrated asset prices abstract this paper investigates theoretical and practical aspects of options that are based upon two or more assets which are co integrated for this purpose a new discrete time model of asset prices is developed a model featuring both the co integration property as well as stochastic volatilities using a garch equilibrium based option pricing approach it is shown that when volatilities are deterministic the option prices do not depend on the co integration parameters except for the mis specification effect as to the manner in which the volatilities are estimated however with stochastic volatilities the option prices explicitly depend upon the co integration parameters in order to understand these results better this paper also examines a continuous time diffusion limit of the asset price system and empirically studies the co integration effect using spread options based upon the s p500 and the nasdaq100 these numerical results suggest that consideration of co integration can substantially alter the value delta and vega of a spread option

imperfect information and cross autocorrelation among stock prices i develop a model to explain why stock returns are positively cross autocorrelated when market makers observe noisy signals about the value of their stocks but cannot instantaneously condition prices on the signals of other stocks which contain marketwide information the pricing error of one stock is correlated with the other signals as market makers adjust prices after observing true values or previous price changes of other stocks stock returns become positively crossautocorrelated if the signal quality differs among stocks the cross autocorrelation pattern is asymmetric i show that both own and cross autocorrelations are higher when market movements are larger

information technology and time based competition in financial markets this paper studies time based competition in imperfect securities markets linking it investment decisions information processing delays and trading strategies at the it investment stage traders trade off the cost of it against their anticipated trading profits at the trading stage each trader devises a trading strategy based on his new information while taking into account the impact of both his own trades and those of other traders in the market our results illustrate how traders react to market imperfections due to trading costs and information processing delays and how superior traders convert a timeliness advantage into higher trading profits they also shed light on the relationship between the price adjustment process and traders information processing delays timeliness imposes an interesting structure on trader competition traders with longer information processing delays trade less frequently submit smaller orders and enjoy lower profits per trade our analysis of traders it investment decisions demonstrates how factors such as it costs number of traders and the frequency and nature of new information affect the level of it investments we further illustrate how improved it infrastructure translates into competitive advantage

funding liquidity and equity liquidity in the subprime crisis period evidence from the etf market using index and financial exchange traded funds etfs this study explores the relation between funding liquidity and equity liquidity during the subprime crisis period our empirical results show that a higher degree of funding illiquidity leads to an increase in bid ask spread and a reduction in both market depth and net buying imbalance such findings indicate that an increase in funding liquidity can improve equity liquidity with a stronger effect for the financial etfs than for the index etfs our study provides a better overall understanding of the effect of the liquidity supplier funding constraint during the subprime crisis period

trading and pricing in upstairs and downstairs stock markets we provide empirical evidence on the economic benefits of negotiating trades in the upstairs trading room of brokerage firms relative to the downstairs market using helsinki stock exchange data we find that upstairs trades tend to have lower information content and lower price impacts than downstairs trades this is consistent with the hypotheses that the upstairs market is better at pricing uninformed liquidity trades and that upstairs brokers can give better prices to their customers if they know the unexpressed demands of other customers we find that these economic benefits depend on price discovery occurring in the downstairs market copyright 2002 oxford university press

the effect of time induced stress on financial decision making in real markets the case of traffic congestion abstract we study the role of stress induced by time constraints on investor decision making in real financial markets we use unexpected traffic congestion as a stress trigger our dependent variable is the slope of the implied volatility function ivf of options on russian trading system index rtsi futures at the left hand side of the volatility smile cf bollen and whaley 2004 controlling for relevant factors we find that this slope at the opening of the main trading session is higher subsequent to morning traffic jams suggesting that investors under stress assign higher weights to extreme loss scenarios this effect is economically exploitable before transaction costs

equation by equation estimation of multivariate periodic electricity price volatility electricity prices are characterised by strong autoregressive persistence periodicity e g intraday day of the week and month of the year effects large spikes or jumps garch and as evidenced by recent findings periodic volatility we propose a multivariate model of volatility that decomposes volatility multiplicatively into a non stationary e g periodic part and a stationary part with log garch dynamics since the model belongs to the log garch class the model is robust to spikes or jumps allows for a rich variety of volatility dynamics without restrictive positivity constraints can be estimated equation by equation by means of standard methods even in the presence of feedback and allows for dynamic conditional correlations dccs that can optionally be estimated subsequent to the volatilities we use the model to study the hourly day ahead system prices at nord pool and find extensive evidence of periodic volatility and volatility feedback we also find that volatility is characterised by positive leverage in half of the hours and that a dcc model provides a better fit of the conditional correlations than a constant conditional correlation ccc model

portfolio serial correlation and nonsynchronous trading common stock portfolios of large heavily traded firms exhibit daily first order serial correlation in excess of what would be expected given the individual security coefficients further this correlation rises as the number of securities in the portfolio increases the direct implication of this finding is that nonsynchronous trading is not the only cause of correlation in daily market indices related implications are also discussed

a transactions data analysis of nonsynchronous trading weekly returns of stock portfolios exhibit substantial autocorrelation analytical studies suggest that nonsynchronous trading is capable of explaining from 5 to 65 of the autocorrelation the varying importance of nonsynchronous trading in these studies arises primarily from differing assumptions regarding nontrading periods of stocks we simulate the effects of nonsynchronous trading by sampling stock returns from a return generating process using transactions data to obtain the precise time of each stock s last trade we find that simulated weekly portfolio returns exhibit autocorrelations that are roughly 25 that of their observed crsp weekly returns article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

trading halts and market activity an analysis of volume at the open and the close this paper analyzes how the daily opening and closing of financial markets affect trading volume we model the desire to trade at the beginning and end of the day as a function of overnight return volatility nyse data from 1933 88 indicate that closing volume is positively related to expected overnight volatility while volume at the open is positively related to both expected and unexpected volatility from the previous night we interpret the symmetric response of trading at the open and the close to expected volatility as being due to investor heterogeneities in the ability to bear risk when the market is closed this desire of investors to trade prior to market closings indicates a cost of mandating marketwide circuit breakers

the informational content of implied volatility implied volatility is widely believed to be informationally superior to historical volatility because it is the markets forecast of future volatility but for s p 100 index options the most actively traded contract in the united states we find implied volatility in aggregate and across subsamples separated by maturity and strike price implied volatility has virtually no correlation with future volatility and it does not incorporate the information contained in recent observed volatility article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

how trading institutions affect financial market performance some laboratory evidence i introduction trading institutions vary considerably across contemporary financial markets 1 but most can be classified into one of two basic types the continuous double auction da allows traders to submit public offers to buy or to sell and to accept other traders offers at any moment in time the double auction institution offers immediacy but non uniform transaction prices the other basic trading institution the clearinghouse ch gathers offers and clears them at a unified price at a pre specified time it sacrifices immediacy for uniform transaction prices 2 the two types of institutions have co existed and evolved for centuries but now are emerging in new electronic versions market participants and policy makers would like to know which institution or variant or combination is most efficient but theoretical and empirical work to date provides little guidance this paper reports on a series of laboratory asset markets experiments designed to compare variants of the double auction and clearinghouse trading institutions the markets are small usually with eight or nine traders but the traders are profit motivated and experienced with the trading institutions the traded asset has uncertain market value and traders receive useful but inconclusive private information they can only learn the asset s true value during the course of trade laboratory markets offer several advantages for empirical study of financial market institutions first private information is observable even controllable in the laboratory and therefore the investigator can directly measure market efficiency 3 second the complexity of the environment can be varied systematically in the laboratory and its effects on market performance can be separated from the effects of the market institution and other forces finally the market institution itself is controllable in the laboratory so it is possible to make valid causal inferences on how the market institution shapes market performance i begin with a survey of relevant literature and other preliminaries in the rest of this section section ii outlines the laboratory procedures the creation of trading environments of varying complexity the electronic implementation of the clearinghouse and double auction trading institutions the computation of theoretical benchmark prices and allocations and the measurement of market performance section iii collects the results following an illustrative account of a double auction trading period and a clearinghouse trading period i use descriptive statistics to summarize market performance in each of the thirty nine experiments the main conclusions are based on statistical comparisons of market performance across alternative market institutions the clearinghouse institution does surprisingly well it delivers greater market depth than the double auction discovers prices at least as efficiently and produces final allocations almost as efficient as the double auction the main institutional variants examined in this paper concern the amount of information made public regarding order placement orderflow the data suggest that public display of the orderflow enhances double auction efficiency but may impair clearinghouse efficiency a study of trading volume shows higher volume in the double auction in both institutions volume increases when important private news arrives and when the trading period is about to end the paper concludes with a brief summary and discussion of the results a companion paper friedman 1991 considers the effects of awarding various privileges to some but not all traders copeland and friedman 1987 1991 provide useful background information on laboratory procedures and computerized double auction markets instructions for the current experiments are available on request the need for empirical work a skeptic might argue that empirical work is unnecessary the mere fact that the double auction and clearinghouse institutions both persist in major financial markets implies that both are highly efficient because a more efficient institution would displace less efficient institutions

systemic co jumps abstract the simultaneous occurrence of jumps in several stocks can be associated with major financial news triggers short term predictability in stock returns is correlated with sudden spikes of the variance risk premium and determines a persistent increase decrease of stock variances and correlations when they come along with bad good news these systemic events and their implications can be easily overlooked by traditional univariate jump statistics applied to stock indices they are instead revealed in a clearly cut way by using a novel test procedure applied to individual assets which is particularly effective on high volume stocks

maximum likelihood estimation of fractional cointegration with an application to u s and canadian bond rates we estimate a multivariate arfima model to illustrate a cointegration testing methodology based on joint estimates of the fractional orders of integration of a cointegrating vector and its parent series previous cointegration tests relied on a two step testing procedure and maintained the assumption in the second step that the parent series were known to have a unit root in our empirical example of fractional cointegration we illustrate how uncertainty regarding the order of integration of the parent series can be even more important than uncertainty regarding the order of integration of the cointegrating vector when testing for cointegration

trading mechanisms and stock returns an empirical investigation this paper examines the effects of the mechanism by which securities are traded on their price behavior we compare the behavior of open to open and close to close returns on nyse stocks given the differences in execution methods applied in the opening and closing transactions opening returns are found to exhibit greater dispersion greater deviations from normality and a more negative and significant autocorrelation pattern than closing returns we study the effects of the bid ask spread and the price adjustment process on the estimated return variances and covariances and discuss the associated biases we conclude that the trading mechanism has a significant effect on stock price behavior

target zones and exchange rates an empirical investigation this paper develops an empirical model of exchange rates in a target zone the distribution of exchange rate changes is conditioned on a latent jump variable where the probability and size of a jump vary over time as a function of financial and macroeconomic variables when there is no jump the target zone is credible and exchange rate changes are constrained to remain within the target zone band the paper revisits the empirical evidence from the european monetary system regarding the conditional distribution of exchange rate changes the credibility of the system and the size of the foreign exchange risk premia in contrast to some previous findings we conclude that the french franc deutschmark rate exhibits considerable nonlinearities realignments are somewhat predictable and the credibility of the system did not increase substantially after 1987 moreover our model implies that the foreign exchange risk premium becomes large during speculative crises

a note on price noises and their correction process evidence from two equal payoff government bonds abstract the study offers the most direct evidence to date on price noises in call auctions and their correction we examine a unique sample of two identical securities two equal payoff israeli government bonds that were traded on separate yet almost simultaneous auctions on the tel aviv stock exchange tase the prices of the bonds were equal on average however on most of the sample days there were price differences between the bonds various estimates suggest that the price noise in one bond is practically uncorrelated with that of the other and both disappear by the end of the next day auction

round the clock market efficiency and home bias evidence from the international japanese government bonds futures markets abstract this paper examines how information is processed between almost identical international futures markets london liffe and tokyo tse jgb futures in these markets variations in open to open changes are virtually the same as those of close to close changes suggesting that information is transmitted efficiently across markets with small opening pricing errors the overall results confirm market efficiency around the clock yet the intraday u shaped patterns in volume volatility of the london jgb futures suggest home bias in international investments indicating a less global view of trading than expected specifically at the liffe open london investors rush to rebalance portfolios instead of doing so at the tse close which is only one hour before the liffe opens

tick size share prices and stock splits minimum price variation rules help explain why stock prices vary substantially across countries and other curiosities of share prices companies tend to split their stock so that the institutionally mandated minimum tick size is optimal relative to the stock price a large relative tick size provides an incentive for dealers to make markets and for investors to provide liquidity by placing limit orders despite its placing a high floor on the quoted bid ask spread a simple model suggests that idiosyncratic risk firm size and visibility of the firm affect the optimal relative tick size and thus the share price in stock markets around the world the average price per share differs substantially the median u s stock for example sells for about 40 a typical london stock sells for about 5 7 50 and a typical hong kong share is about 2 furthermore when stock prices rise above a country s usual trading range firms often split their stocks to restore prices to that range why are these price ranges so different among countries these trading ranges can be remarkably stable over time during the half century from 1943 to 1994 the s p composite index increased over 1 500 percent yet the average new york stock exchange nyse share price was

intraday price reversals for index futures in the us and hong kong abstract we observe intraday price reversals following large price changes at the opening of the s p 500 futures market and the hsi futures market we note that the magnitude of subsequent price reversals is positively related to the initial price changes and that the price reversals are not caused by a bid ask spread or by panic among investors we also note that such price reversals can be exploited to give rise to profitable opportunities after transaction costs even though these may not be very significant this study shows that investor overreaction may be a universal phenomenon and irrational investor behavior like overreaction may also exist among groups of sophisticated investors

consolidation fragmentation and market performance this paper studies the impact of market consolidation or fragmentation on its performance examining four alternative models of exchange a consolidated clearing house fragmented clearing houses a monopoly dealer market and an interdealer market the effects of the market mechanism on the expected quantity traded the price variance faced by individual traders the quality of market price signals the expected gains from trade and the exchange implementation costs are studied

volume volatility and new york stock exchange trading halts trading halts increase rather than reduce both volume and volatility volume volatility in the first full trading day after a trading halt is 230 percent 50 to 115 percent higher than following pseudohalts nonhalt control periods matched on time of day duration and absolute net of market returns these results are robust over different halt types and news categories higher posthalt volume is observed into the third day while higher posthalt volatility decays within hours the extent of media coverage is a partial determinant of volume and volatility following both halts and pseudohalts but a separate halt effect remains after controlling for the media effect in the wake of the 1987 market break a number of commentators including the presidential task force on market mechanisms recommended the establishment of circuit breaker mechanisms the primary argument supporting circuit breakers both price limits and trading halts is that nontrading periods provide an opportunity for normal information transmission in times of market duress proponents of circuit breakers claim that during major price changes there can be a breakdown in the transmission of information between the trading floor and market participants therefore the primary function of a circuit breaker should be to reinform participants greenwald and stein 1988 p 17 by lowering informational asymmetries between traders halts could permit the orderly emergence of a new consensus price but would informative trading halts succeed many academics are openly suspicious of any kind of market interference and assume that trading halts are guilty until proven innocent grossman 1990 p 3 for example argues that the closing of markets merely prevents consenting adults from carrying out their desires on the floor of the stock exchange not only do halts impose a liquidity cost on traders but studies suggest that information will not be as

order consolidation price efficiency and extreme liquidity shocks we show that the consolidation of orders is important for producing efficient prices especially during times of high liquidity demand the nyse s centralized opening call market performs better than nasdaq s decentralized opening process on typical trading days the nyse is much better than nasdaq on witching days when index arbitrage activity subjects s p 500 stocks to large predictable and mostly informationless order flow around quarterly futures contract expirations nasdaq opening price efficiency improves to nyse levels once nasdaq initiates a consolidated opening call in november 2004 but prices on the decentralized nasdaq remain less efficient at other times of day

the value of trading consolidation evidence from the exercise of warrants we study the effect of trading consolidation by examining the response of liquidity and stock price to the exercise of deep in the money corporate warrants this enables a relatively clean test of the value of trading consolidation the exercise at the warrant expiration is fully anticipated and has no information content an effect can come from the value of trading consolidation that improves liquidity indeed we find that liquidity and stock prices both increase significantly at warrant expiration further the price increase is positively related to the pre exercise extent of fragmentation to post exercise improvement in stock liquidity and to the proportional increase in the number of shares following the warrant exercise

judgemental overconfidence self monitoring and trading performance in an experimental financial market we measure the degree of overconfidence in judgment in the form of miscalibration i e the tendency to overestimate the precision of one s information and self monitoring a form of attentiveness to social cues of 245 participants and also observe their behaviour in an experimental financial market under asymmetric information miscalibrated traders underestimating the conditional uncertainty about the asset value are expected to be especially vulnerable to the winner s curse high self monitors are expected to behave strategically and achieve superior results our empirical results show that miscalibration reduces and self monitoring enhances trading performance the effect of the psychological variables is strong for men but non existent for women

comparisons of utility inequality and income inequality abstract a simple theoretical model is developed and analyzed to investigate the possible relationships between income inequality and utility inequality measuring utility inequality and income inequality with gini coefficients it is argued that there need not be any relation whatsoever between the realized levels of inequality in these two distinct outcomes that is a high level of income inequality could result when there is either equally high or absolutely no utility inequality and a low level of income inequality could result when there is either no utility inequality or a relatively high degree of utility inequality consequently if what we are actually concerned with is inequality in utility or well being observations on income inequality might be meaningless

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

order flow and liquidity around nyse trading halts we study order f low and liquidity around nyse trading halts we find that market and limit order submissions and cancellations increase significantly during trading halts that a large proportion of the limit order book at the reopen is composed of orders submitted during the halt and that the market clearing price at the reopen is a good predictor of future prices depth near the quotes is unusually low around trading halts though specialists and0or f loor traders appear to provide additional liquidity at these times finally specialists appear to spread the quote prior to imbalance halts to convey information to market participants the costs and benef its associated with new york stock exchange trading halts are the subject of continuous debate the stated purpose of trading halts is to allow investors a chance to react to new information and to facilitate the orderly emergence of a new equilibrium price see e g nyse 1999 however little is known about the extent or nature of investor reactions to trading halts furthermore it is unclear whether these reactions support or confound attempts to reach a new equilibrium price to address these issues we use nonpublic nyse data on all superdot electronic orders to analyze the effects of trading halts on order f low spreads and the limit order book we also examine the relationships between the limit order book and the reopening price and between liquidity and post halt volatility information on order f low is an important missing element in the ongoing debate about the usefulness of trading halts one argument against trading halts is that they impede price formation because trading aggregates information that is distributed across market participants however submissions and cancellations of orders during a halt may provide an alternative source of information that combined with published indications of possible reopening prices may assist with price formation an argument in favor of trading halts is that when traders are given an opportunity to cancel orders

transitory price changes and price limit rules evidence from the tokyo stock exchange we compare the volatility of 24 hour returns computed from the opening and closing prices of a diverse sample of tokyo stock exchange tse stocks we find that volatility at the open is greater than volatility at the close only for the most actively traded tse stocks daytime and overnight return covariances suggest that the volatility patterns are explained by the effect of implicit bid ask spreads at the open and partial price adjustment at the close both of which are related to the intensity of trading our results challenge the view that open to open returns are more volatile than close to close returns for stocks in general and are consistent with the hypothesis that tse price limit rules have a significant impact on the dynamics of security prices

measurement effects and the variance of returns after stock splits and stock dividends this article examines the relation between two factors affecting stock returns the bid ask spread and price discreteness and the increase in return variance after ex dates of stock splits and stock dividends controlling for these effects the variance of daily returns still increases significantly the variance of weekly returns also increases significantly and the variance of returns for a control sample of nonsplitting firms shows no significant increase variance ratio tests show that bid ask errors are small for these stocks and therefore cannot explain the large increase in variance spreads and price discreteness do not explain increased variance after stock distributions article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

asymmetric volatility in european day ahead power markets a comparative microeconomic analysis this paper uses high frequency spot price data from fourteen wholesale electricity markets in europe to analyze asymmetric volatility in european day ahead power markets with exponential garch e garch and tarch models our data set ranges from 1992 to 2015 and consists of approximately 926 000 observations as such this paper constitutes the most extensive and comprehensive work conducted so far on european power markets to the best of our knowledge unlike most of the literature that treats price as a continuous variable and attempts to model its trajectory this paper adopts a unique approach and regards each hour in a day a separate market the results show in post 2008 period the most expensive electricity is consumed in turkey ireland and uk while the cheapest power is in russia nordic countries and czech republic russia poland and czech republic have the least volatile markets while france ireland and portugal have the most volatile ones volatility has decreased in many european countries in post 2008 period besides we find magnitude effect is usually larger than the leverage effect meaning that the absolute value of price change is relatively more important than the sign of the change whether it is an increase or a decrease to explain volatility in european day ahead power markets moreover the results imply there is not a uniform inverse leverage effect in electricity prices that is price increases are more destabilizing in some european markets e g poland slovenia ireland netherlands than comparable price decreases but vice versa also holds true in some other countries e g portugal and france leverage or inverse leverage effect in post 2008 period is relatively stronger in portugal france and ireland but its impact is quite limited in turkey and germany furthermore although the impact of seasonality on prices is obvious a specific pattern cannot be identified finally large changes in the volatility will affect future volatilities for a relatively longer period of time in nordic countries ireland and the uk while changes in current volatility will have less effect on future volatilities in czech republic russia and turkey

component estimation for electricity prices procedures and comparisons abstract electricity price time series usually exhibit some form of nonstationarity corresponding to long term behavior one or more periodic components as well as dependence on calendar effects as a result modeling electricity prices requires accounting for both long term and periodic components in the literature several filtering procedures have been proposed but a standard has not yet been found furthermore since different procedures are applied in contexts that are not homogeneous with respect to data periods and final goals a fair comparison is difficult this work considers several methods for component estimation in a homogeneous framework and compares them according to specific criteria the final purpose is to find an estimation procedure that performs well independently of the intended market and that can be proposed as a reference for electricity price time series filtering

continuous time models realized volatilities and testable distributional implications for daily stock returns we provide an empirical framework for assessing the distributional properties of daily speculative returns within the context of the continuous time jump diffusion models traditionally used in asset pricing finance our approach builds directly on recently developed realized variation measures and non parametric jump detection statistics constructed from high frequency intra day data a sequence of simple to implement moment based tests involving various transformations of the daily returns speak directly to the importance of different distributional features and may serve as useful diagnostic tools in the specification of empirically more realistic continuous time asset pricing models on applying the tests to the 30 individual stocks in the dow jones industrial average index we find that it is important to allow for both time varying diffusive volatility jumps and leverage effects to satisfactorily describe the daily stock price dynamics copyright 2009 john wiley sons ltd

why do electricity prices jump empirical evidence from the nordic electricity market the paper empirically explores the possible causes behind electricity price jumps in the nordic electricity market nord pool a time series model a mixed garch earji jump model capturing the com

market behavior in a clearing house one of the most fundamental market mechanisms is the clearing house where orders are accumulated over time and the market is cleared periodically the issue addressed in this study is the statistical behavior of the market under this neutral mechanism in the framework of a tractable stochastic model which captures the underlying uncertainties and indivisibilities in the demand and supply schedules applying renewal theory we derive closed form results for the behavior of prices and quantities and pursue the implications of the possibility of no trade and the multiplicity of market clearing prices

price discovery in auction markets a look inside the black box opening mechanisms play a crucial role in information aggregation following the overnight nontrading period this article examines the process of price discovery at the new yorkstockexchange single price opening auction we develop a theoretical model to explain the determinants of the opening price and test the model using order level data we show that the presence of designated dealers facilitates price discovery relative to a fully automated call auction market this is consistent with specialists extracting information from observing the evolution of the limit order book in addition the specialist s opening trade reflects noninformational factors such as price stabilization requirements

conditional jump dynamics in stock market returns this article develops a new conditional jump model to study jump dynamics in stock market returns we propose a simple filter to infer ex post the distribution of jumps this permits construction of the shock affecting the time t conditional jump intensity and is the main input into an autoregressive conditional jump intensity model the model allows the conditional jump intensity to be time varying and follows an approximate autoregressive moving average arma form the time series characteristics of 72 years of daily stock returns are analyzed using the jump model coupled with a generalized autoregressive conditional heteroscedasticity garch specification of volatility we find significant time variation in the conditional jump intensity and evidence of time variation in the jump size distribution the conditional jump dynamics contribute to good in sample and out of sample fits to stock market volatility and capture the rally often observed in equity markets following a significant downturn

trading structure and overnight information a natural experiment from the tel aviv stock exchange abstract a unique data set from the tel aviv stock exchange tase is used to study the effect of trading mechanisms on stock return volatility the tase represents a natural experiment which allows separation of the overnight information effect from the trading mechanism effect the data span a time period in which the order of the trading mechanisms a sequential continuous mechanism and a call auction was switched since overnight information should impact opening prices equally across periods this affords an unparalleled opportunity to examine the trading mechanism effect without the confounding effect of the non trading period this paper finds that the null that opening variances equal closing variances cannot be rejected for either period further the tests cannot reject null that the ratio of opening to closing return variances is equal across periods this suggests that the trading mechanisms on the tase do not differ in their effect upon return volatility

from income inequality to economic inequality i begin by recounting a true story a rather trivial and innocuous story as it happens but one with something of a lesson some years ago when i went to give a lecture at another campus i chose economic inequality as the title of my talk on arrival i found the campus covered with posters announcing that i was speaking on income inequality when i grumbled about it slightly i encountered gentle but genuine amazement that i wanted to fuss about such an insignificant difference indeed the identification of economic inequality with income inequality is fairly standard and the two are often seen as effectively synonymous in the economic literature if you tell someone that you are working on economic inequality it is quite commonly assumed that you are studying income distribution this implicit identification can be found in the philosophical literature as well for example in his interesting and important paper equality as a moral ideal harry frankfurt 1987 the distinguished philosopher provides a closely reasoned critique of what he calls economic egalitarianism defining it as the doctrine that there should be no inequalities in the distribution of money p 21 the distinction however is important many of the criticisms of economic egalitarianism as a value or a goal applies much more readily to the narrow concept of income inequality than it does to the broader notions of economic inequality for example giving a larger share of income to a person with more needs say due to a disability can be seen as militating against the principle of equalizing incomes but it does not go against the broader precepts of economic equality since the greater need for economic resources due to the disability must be taken into account in judging the requirements of economic equality well the subject of this paper is precisely the difference between economic inequality and income inequality it will be argued that we ought to pay much more attention than we conventionally do to economic inequality in an appropriately broad sense taking note of the fact that income inequality on which economic analysis of inequality so often concentrates gives

a simple measure of price adjustment coefficients one measure of market efficiency is the speed with which prices adjust to new information we develop a simple approach to estimating these price adjustment coefficients by using the information in return processes this approach is used to estimate the price adjustment coefficients for firms listed on the nyse and the amex as well as for over the counter stocks we find evidence of a lagged adjustment to new information in shorter return intervals for firms in all market value classes and some support for the proposition that prices adjust much more slowly and with more noise for smaller firms

stochastic trends and jumps in ems exchange rates abstract in this paper we study the statistical properties of ems exchange rate returns our findings show that jumps time varying parameters and conditional leptokurtosis are pertinent features in the empirical distributions of ems exchange rate returns allowance for fat tails however tends to reduce the measured frequency of jumps in the distributions to more realistic proportions most successful in capturing the relevant features of ems exchange rate returns is a combined jump garch model with conditionally t distributed innovations jel f31

bid ask spreads and volatility estimates the implications for option pricing abstract this paper re examines the variance related mispricing exhibited by the black scholes model by accounting for the effects of bid ask spreads on the estimation of the variance of returns on a security it is shown that volatility estimates based on observed sequences of transaction prices overestimate the true volatility of returns on a security with the magnitude of the overestimation being an increasing function of the level of the volatility the paper then provides empirical tests of the proposition that the variance related bias exhibited by the black scholes model is due to this misestimation of volatility the results indicate that although the misestimation is systematically related to the variance it is not of sufficient magnitude to explain the volatility bias exhibited by black scholes model

revisiting the techno economic analysis process for building mounted grid connected solar photovoltaic systems part two application part one in this two part paper identified monte carlo analysis as an improved approach over traditional deterministic techno economic methods for solar pv prosumers in deregulated markets in this

properties of realized variance under alternative sampling schemes this article investigates the statistical properties of the realized variance estimator in the presence of market microstructure noise different from the existing literature the analysis relies on a pure jump process for high frequency security prices and explicitly distinguishes among alternative sampling schemes including calendar time sampling business time sampling and transaction time sampling the main finding in this article is that transaction time sampling is generally superior to the common practice of calendar time sampling in that it leads to a lower mean squared error mse of the realized variance the benefits of sampling in transaction time are particularly pronounced when the trade intensity pattern is volatile based on ibm transaction data over the period 2000 2004 the empirical analysis finds an average optimal sampling frequency of about 3 minutes with a steady downward trend and significant day to day variation related to market liquidity and a consistent reduction in mse of th

market quality changes in the london stock market this paper examines the impact that the introduction of a closing call auction had on market quality at the london stock exchange using estimates from the partial adjustment with noise model of amihud and mendelson amihud y mendelson h 1987 trading mechanisms and stock returns an empirical investigation journal of finance 42 533 553 we show that opening and closing market quality improved for participating stocks when we stratify our sample securities into five groups based on trading activity we find that the least active securities experience the greatest improvements to market quality a control sample of stocks are not characterized by discernable changes to market quality

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

short sales and speed of price adjustment evidence from the hong kong stock market abstract we present empirical evidence that short sales contribute to market efficiency by increasing the speed of price adjustment to not only private public firm specific information but also market wide information shortable stocks are characterized by weaker trade continuity and stronger quote reversals they adjust faster to new information than non shortable counterparts these findings remain robust even in an up market condition in which short sales are not binding the amount of information incorporated in each trade is also significantly higher for shortable than non shortable stocks in both up and down market conditions after controlling for firm size trading volume liquidity price and option trading short sales stand out as one of the significant factors that speed up the price adjustment

comparisons of heterogeneous distributions and dominance criteria abstract we are interested in the comparisons of standard of living across societies when observations of both income and household structure are available we generalise the approach of a b atkinson and f bourguignon 1987 3 to the case where the marginal distributions of needs can vary across the household populations under comparison we assume that a sympathetic observer uses a utilitarian social welfare function in order to rank heterogeneous income distributions insofar as any individual can play the role of the observer we take the unanimity point of view according to which the planner s judgements have to comply with a certain number of basic normative principles we impose increasingly restrictive conditions on the household s utility function and we investigate their effects on the resulting rankings of the distributions this leads us to propose four dominance criteria that can be used for providing an unambiguous ranking of income distributions for heterogeneous populations

volatility increases subsequent to nyse and amex stock splits the post split increase in daily returns volatility is less for amex stocks than for nyse stocks the exchange trading location is a significant factor in explaining the volatility shift even after stock price and firm size are considered furthermore when measured on a weekly basis there is no increase in amex stocks returns volatility these results suggest that measurement errors created by bid ask spreads and the 1 8 effect and also one or more of the elements that make the nyse different from the amex explain why the estimated volatility of daily stock returns increases after the ex split date ohlson and penman 1985 provide evidence that nyse stock returns variances increase subsequent to ex stock distribution days for splits of 100 or greater the increase in volatility is independent of the size of the split alnd the post split price seven potential problems that might affect their results are analyzed and rejected 1 ohlson and penman 1985 suggest that the greater post split volatility may be due to the activity of relatively ignorant noisy traders who prefer trading low priced stocks this clientele factor is attributed to black 1986 pg 534 and institutional factors a rather broad category that incorporates measurement problems created by the 1 8 effect and bid ask spreads as possible hypotheses for the post split volatility increase this paper extends ohlson and penman s 1985 analysis to amex stocks exchange listing can serve as a proxy for several real factors that may cause the increase in post split variance many of which are related to the clientele factor and institutional factors cited above if the increase in volatility differs between nyse and amex stocks it will suggest that one or more of the following contributes to the phenomenon

price adjustment delays and arbitrage costs evidence from the behavior of convertible preferred prices price adjustment delays occur between in the money convertible preferred stock prices and common stock prices convertible preferred prices systematically deviate from the prices predicted from their conversion relations with common stocks the price predictability stems from price changes in the underlying common stocks leading the price changes in the convertible preferred stocks by up to nine hours cross sectionally about 70 percent of the variation in the unsigned size of the price deviations is explained by proxies for costs of arbitrage

a pure jump transaction level price model yielding cointegration we propose a new transaction level bivariate log price model that yields fractional or standard cointegration the model provides a link between market microstructure and lower frequency observations the two ingredients of our model are a long memory stochastic duration process for the waiting times k between trades and a pair of stationary noise processes ek and k which determine the jump sizes in the pure jump log price process our model includes feedback between the disturbances of the two log price series at the transaction level which induces standard or fractional cointegration for any fixed sampling interval t we prove that the cointegrating parameter can be consistently estimated by the ordinary least squares estimator and we obtain a lower bound on the rate of convergence we propose transaction level method of moments estimators of the other parameters in our model and discuss the consistency of these estimators

regime jumps in electricity prices many countries are liberalizing their energy markets participants in these markets are exposed to market risk due to the characteristics of electricity price dynamics electricity prices are known to be mean reverting very volatile and subject to frequent spikes models that describe the dynamics of electricity prices should incorporate these characteristics in order to capture the price spikes many researchers have introduced stochastic jump processes but we argue and show that this specification might lead to potential problems with specifying the true amount of mean reversion within the process in this paper we propose a regime switching model that models price spikes separated from normal mean reverting prices

the trading decision and market clearing under transaction price uncertainty this paper models an individual s trading decision given 1 his her demand function to hold shares of an asset 2 his her expectation on what the market clearing price will be and 3 the design of the market which determines how orders will be translated into trades the particular market design we consider is the batched trading periodic call regime assuming investors are distributed according to their propensities to hold shares we model the aggregation of orders to obtain market clearing values of price and volume and to show the way in which with trading friction these solutions differ from pareto efficient values the importance of this analysis for various issues concerning market design is noted when markets are not frictionless and transaction prices are uncertain the act of trading requires analysis this paper models an individual s trading decision in secondary financial asset markets in so doing we study the order flow as an endogenous part of the system we show how given an underlying demand curve the trader will choose an optimal price quantity order to transmit to the market and we model the aggregation of orders to obtain market clearing values for price and volume these models are used to show the way in which the prices and trading volume established on the market will in general differ from their pareto efficient values much of the microstructure literature that studies the behavior of transaction prices in a nonfrictionless market has assumed that orders are generated by some exogenously given stochastic process this has been true for instance in the

a tale of three schools insights on autocorrelations of short horizon stock returns this article reexamines the autocorrelation patterns of short horizon stock returns we document empirical results which imply that these autocorrelations have been overstated in the existing literature based on several new insights we provide support for a market efficiency based explanation of the evidence our analysis suggests that institutional factors are the most likely source of the autocorrelation patterns

trading and returns under periodic market closures this paper studies how market closures affect investors trading policies and the resulting return generating process it shows that closures generate rich patterns of time variation in trading and returns including those consistent with empirical findings 1 u shaped patterns in the mean and volatility of returns over trading periods 2 higher trading activity around the close and open 3 more volatile open to open returns than close to close returns 4 higher returns over trading periods than over nontrading periods 5 more volatile returns over trading periods than over nontrading periods it also shows that closures can make prices more informative about future payoffs we model a competitive stock market with periodic closures in which investors trade for both allocational and informational reasons we use the model to study how market closures intrinsically affect investors trading behavior and the return generating process the purpose of this analysis is to increase our understanding of the time variation in security trading and returns that are associated with regular market closures such as the intraday and intraweek patterns in stock returns volatility and trading volume we consider a stock market in which the exogenous information flow is homogeneous over time and the market closes periodically when the market is open investors trade the stock either to rebalance their overall portfolio of assets which also includes other illiquid assets or to speculate on future stock payoffs using their private information in particular investors adjust their asset portfolio by trading the stock in order to hedge the risk of illiquid assets we refer to these trades as hedging trades and those motivated by private information as speculative trades when the market is closed hong is from the graduate school of business stanford university and wang is from the sloan school of management massachusetts institute of technology and nber the authors thank jennifer huang for programming assistance and an anonymous referee for many valuable suggestions they also thank glenn ellison john heaton craig holden andrew lo steve slezak jeremy stein rene stulz the editor the nber asset pricing lunch group and par

an examination of stock market return volatility during overnight and intraday periods 1964 1989 this paper examines the variance of hourly market returns during 1964 89 results indicate that return volatility falls from the opening hour until early afternoon and rises thereafter and is significantly greater for intraday versus overnight periods market variance is also shown to change significantly over time rising after nasdaq began in 1971 rising after trading in stock options began in 1973 falling after fixed commissions were eliminated in 1975 rising after trading in stock index futures was introduced in 1982 and falling after margin requirements for stock index futures became larger in 1988 copyright 1990 by american finance association

a closing call s impact on market quality at euronext paris abstract the paris bourse currently euronext paris refined its trading system to include electronic call auctions at market closings in 1996 for its less liquid continuous b stocks and in 1998 for its more actively traded continuous a stocks this paper analyzes the effects of the innovation on market quality our empirical analysis of price behavior for two samples of firms 50 b stocks and 50 a stocks for two different calendar dates 1996 and 1998 indicates that introduction of the closing calls has lowered execution costs for individual participants and sharpened price discovery for the broad market we further observe that market quality is improved at market openings albeit to a lesser extent we suggest that a positive spillover effect explains the closing call s more pervasive impact

calendar anomalies abnormal returns at calendar turning points 1988 calendar anomalies abnormal returns at calendar turning points financial analysts journal vol 44 no 6 pp 28 39

price formation on stock exchanges the evolution of trading within the day prior analyses of prices of the nyse and other exchanges find that transitory price volatility is greater at the open of trading than at the close we extend this line of research by using 40 years of hourly dow jones 65 composite price index data to estimate transitory volatility throughout the trading day our results indicate that transitory volatility steadily declines during the trading day we find a similar intraday decline in transitory volatility for a 2 1 2 year sample of the individual firms in the dow jones 30 industrials index the results are consistent with the hypothesis that trading aids price formation and do not support the argument that particular trading mechanisms are the source of greater volatility at the open of trading article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

modelling round the clock price discovery for cross listed stocks using state space methods u s trading in non u s stocks has grown dramatically around the clock these stocks trade in the home market in the u s market and potentially in both markets simultaneously we develop a general methodology based on a state space model to study 24 hour price discovery in a multiple markets setting as opposed to the standard variance ratio approach this model deals naturally with 1 simultaneous quotes in an overlap 2 missing observations in a nonoverlap 3 noise due to transitory microstructure effects and 4 contemporaneous correlation in returns due to market wide factors we apply our model to dutch stocks cross listed in the united states our findings suggest a minor role for the new york stock exchange in price discovery for dutch shares in spite of its nontrivial and growing market share

the feasibility of an index contingent trading mechanism auction or call trading systems are used in many stock exchanges an essential problem in the application of these systems is that orders in one security cannot be conditioned on prices of other securities this paper proposes and analyzes the feasibility of an index contingent trading system in this system limit orders may be conditioned on an index any weighted average of the security prices that is determined simultaneously with the prices in addition to the asset price without any assumptions about traders behavior it is shown that under a reasonable restriction on the structure of the limit orders there is a unique solution vector of prices to any set of orders in all securities moreover the paper presents a quick and simple algorithm that converges to the solution this algorithm is based on an extension of the current mechanisms therefore it can be implemented easily in any computerized auction system

autocorrelation of daily index returns intraday to intraday versus close to close intervals abstract first order autocorrelation coefficients of 1 daily equally weighted open to open returns 2 daily equally weighted intraday to intraday returns terminating at each of 23 successive 15 minute intervals of the trading day beginning at 10 15 a m and 3 daily equally weighted and value weighted close to close returns interval 24 are examined a number of findings concerning the behavior of these autocorrelations are reported first order autocorrelation is shown to follow a crude u shaped pattern when plotted against the time of the trading day but there is no significant difference in the behavior of autocorrelations based on open to open returns and 24 hour returns terminating at 10 15 a m evidence that intraday patterns in autocorrelation cannot be explained fully by trading delays also is presented

intraday relationships between volatility in s p 500 futures prices and volatility in the s p 500 index abstract this paper examines the intraday relationships between the volatility of s p 500 futures prices and the volatility of the s p 500 index we calculate variance measures for minute to minute price changes on a daily basis and across 30 minute intervals the empirical results indicate that i futures volatility is greater than index volatility ii volatility increased for both futures prices and the index in absolute terms from 1984 through 1986 iii both futures and index volatility increased directly with futures trading volume and iv index volatility was systematically greater during the first 30 minutes of trading each day than at other times granger tests however reveal no systematic pattern of futures volatility leading index volatility or index volatility leading futures volatility

electricity spot price dynamics beyond financial models we reveal properties of electricity spot prices that cannot be captured by the statistical models commonly used to model financial asset prices that are increasingly used to model electricity prices using more than eight years of half hourly spot price data from the new zealand electricity market we find that the half hourly trading periods fall naturally into five groups corresponding to the overnight off peak the morning peak daytime off peak evening peak and evening off peak the prices in different trading periods within each group are highly correlated with each other yet the correlations between prices in different groups are lower models adopted from the modeling of security prices that are currently applied to electricity spot prices are incapable of capturing this behavior we use a periodic autoregression to model prices instead showing that shocks in the peak periods are larger and less persistent than those in off peak periods and that they often reappear in the following peak period in contrast shocks in the off peak periods are smaller more persistent and die out perhaps temporarily during the peak periods current approaches to modeling spot prices cannot capture this behavior either

random competitive exchange price distributions and gains from trade abstract this paper studies the behavior of a competitive exchange under uncertain preferences and random indivisible endowments we obtain explicit closed form results for the price distribution and expected gains from trade both for case where the market is thin and the number of traders is low and for the asymptotic case where the number of traders tends to infinity we demonstrate that increasing the number of traders reduces price variability and increases the expected gains from trade and that increasing the variability of traders reservation prices increases price variability as well as the expected asymptotic gains from trade