the forecasting ability of correlations implied in foreign exchange options abstract this paper evaluates the forecasting accuracy of correlations derived from implied volatilities in dollar mark dollar yen and mark yen options from january 1989 to may 1995 as a forecast of realized correlation between the dollar mark and dollar yen implied correlation is compared against three alternative forecasts based on time series data historical correlation riskmetrics exponentially weighted moving average correlation and correlation estimated using a bivariate garch 1 1 model at the 1 month and 3 month forecast horizons we find that implied correlation outperforms often significantly these alternative forecasts in combinations implied correlation always incrementally improves the performance of other forecasts but not the converse in certain cases historically based forecasts contribute no incremental information to implied forecasts the superiority of the implied correlation forecast holds even when forecast errors are weighted by realized variances reflecting correlation s contribution to the dollar variance of a multicurrency portfolio

the impact of ict investment and energy price on industrial electricity demand dynamic growth model approach the authors investigate the effects of information and communications technology ict investment electricity price and oil price on the consumption of electricity in south korea s industries using a logistic growth model the concept electricity intensity is used to explain electricity consumption patterns an empirical analysis implies that ict investment in manufacturing industries that normally consume relatively large amounts of electricity promotes input factor substitution away from the labor intensive to the electricity intensive moreover results also suggest that ict investment in some specific manufacturing sectors is conducive to the reduction of electricity consumption whereas ict investment in the service sector and most manufacturing sectors increases electricity consumption it is concluded that electricity prices critically affect electricity consumption in half of south korea s industrial sectors but not in the other half a finding that differs somewhat from previous research results reasons are suggested to explain why the south korean case is so different policymakers may find this study useful as it answers the question of whether ict investment can ultimately reduce energy consumption and may aid in planning the capacity of south korea s national electric power

on the impacts of oil price fluctuations on european equity markets volatility spillover and hedging effectiveness the objective of this paper is to investigate the volatility spillovers between oil and stock markets in europe as not all industries are expected to be equally affected by oil price changes we conduct our study at both the aggregate as well as sector levels empirically we make use of a recently developed var garch approach which allows for transmissions in volatilities in addition we analyze the optimal weights and hedge ratios for oil stock portfolio holdings based on our results on the whole our findings show significant volatility spillovers between oil price and sector stock returns and suggest that a better understanding of those links is crucial for portfolio management in the presence of oil price risk

answering the skeptics yes standard volatility models do provide accurate forecasts a voluminous literature has emerged for modeling the temporal dependencies in financial market volatility using arch and stochastic volatility models while most of these studies have documented highly significant in sample parameter estimates and pronounced intertemporal volatility persistence traditional ex post forecast evaluation criteria suggest that the models provide seemingly poor volatility forecasts contrary to this contention we show that volatility models produce strikingly accurate interdaily forecasts for the latent volatility factor that would be of interest in most financial applications new methods for improved ex post interdaily volatility measurements based on high frequency intradaily data are also discussed

multiproduct short run hospital cost functions empirical evidence and policy implications from cross section data economists and policymakers have been interested in hospital costs and the structure of hospital technologies for several decades now early interest was focused on the possibility of scale economies which implied increased efficiency for larger hospitals 6 8 12 13 18 20 while more recent interest has been stimulated by the inflationary spiral of hospital costs 1 15 17 22 as hospital costs have risen important policy questions concerning the impact on costs of the hospitals diagnostic case mix the hospitals admitting physicians the hospitals size and the hospitals efficiency have emerged and researchers have attempted to deal with these issues within the context of increasingly complex econometric models 1 2 5 24 27 however in attempting to analyze these important policy issues researchers have been forced to make two major types of compromises on the one hand appropriate data are often not available for estimating a well specified cost function e g information on admitting physicians and diagnostic case mix are often missing so that problems of specification error often plague the econometric results conversely in using imaginative ways to deal with data problems e g weighting in patient and out patient care to form a single index of hospital services 1 27 or estimating separate cost functions for each department in the hospital 2 researchers sometimes place unrealistic and unnecessary constraints on their econometric models the purpose of this study is to analyze the impact of several of the primary hospital characteristics mentioned above on the short run costs of hospitals within a theoretically consistent framework in the following discussion we also develop the theoretical

interest rate volatility and the term structure a two factor general equilibrium model we develop a two factor general equilibrium model of the term structure the factors are the short term interest rate and the volatility of the short term interest rate we derive closed form expressions for discount bonds and study the properties of the term structure implied by the model the dependence of yields on volatility allows the model to capture many observed properties of the term structure we also derive closed form expressions for discount bond options we use hansen s generalized method of moments framework to test the cross sectional restrictions imposed by the model the tests support the two factor model there are essentially two approaches to the modeling of the term structure of interest rates in continuous time the equilibrium approach pioneered by

inferring future volatility from the information in implied volatility in eurodollar options a new approach we study the information content of implied volatility from several volatility specifications of the heath jarrow morton 1992 hjm models relative to popular historical volatility models in the eurodollar options market the implied volatility from the hjm models explains much of the variation of realized interest rate volatility over both daily and monthly horizons the implied volatility dominates the garch terms the glosten et al 1993 type asymmetric volatility terms and the interest rate level however it cannot explain that the impact of interest rate shocks on the volatility is lower when interest rates are low than when they are high article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

financialization in commodity markets a passing trend or the new normal abstract in this paper we show that large inflows into commodity investments a recent phenomenon known as financialization has changed the behavior and dependence structure between commodities and the general stock market the common perception is that the increase in comovements is the result of distressed investors selling both assets during the 2007 2009 financial crisis we show that financial distress alone cannot explain the size and persistence of comovements instead we argue that commodities have become an investment style for institutional investors given that institutional investors continue to target funds into commodities we predict spillovers between commodities and the stock market to remain high in the future

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

bond pricing and the term structure of interest rates a new methodology for contingent claims valuation this paper presents a unifying theory for valuing contingent claims under a stochastic term structure of interest rates the methodology based on the equivalent martingale measure technique takes as given an initial forward rate curve and a family of potential stochastic processee for its subsequent movements a no arbitrage condition restricts this family of processes yielding valuation formulae for interest rate sensitive contingent claims which do not explicitly depend on the market prices of risk examples are provided to illustrate the key results in relation to the term structure of interest rates arbitrage pricing theory has two purposes the first is to price all zero coupon default free bonds of varying maturities from a finite number of economic fundamentals called state variables the second is to price all interest rate sensitive contingent claims taking as given the prices of the zero coupon bonds this paper presents a general theory and a unifying framework for understanding arbitrage pricing theory in this context of which all existing arbitrage pricing models are special cases in particular vasicek 1977 brennan and schwartz 1979 langetieg 1980 ball and torous 1983 ho and lee 1986 schaefer and schwartz 1987 and artzner and delbaen 1988 the primary contribution of this paper however is a new methodology for solving the second problem i e the pricing of interest rate sensitive contingent claims given the prices of all zero coupon bonds the methodology is new because i it imposes its stochastic structure directly on the evolution of the forward rate curve ii it does not require an inversion of the term structure to eliminate the market prices of risk from contingent claim values and iii it has a stochastic spot rate process with multiple stochastic factors influencing the term structure the model can be used to consistently price and hedge all contingent claims american or european on the term structure and it is derived from necessary and more importantly sufficient conditions for the absence of arbitrage the arbitrage pricing models of vasicek 1977 brennan and schwartz 1979 langetieg 1980 and artzner and delbaen 1988 all require an iformerly titled bond pricing and the term structure of interest rates a new methodology

multivariate term structure models with level and heteroskedasticity effects abstract the paper introduces and estimates a multivariate level garch model for the long rate and the term structure spread where the conditional volatility is proportional to the th power of the variable itself level effects and the conditional covariance matrix evolves according to a multivariate garch process heteroskedasticity effects the long rate variance exhibits heteroskedasticity effects and level effects in accordance with the square root model the spread variance exhibits heteroskedasticity effects but no level effects the level garch model is preferred above the garch model and the level model garch effects are more important than level effects the results are robust to the maturity of the interest rates

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

modeling returns and volatility transmission between oil price and us nigeria exchange rate article i nfo this paper models returns and volatility transmission between oil price op and us nigeria exchange rate exr consequently it provides five main innovations i it analyzes op and exr using the recently devel oped test by narayan and popp 2010 np which allows for two structural breaks in the data series ii it employs the narayan and liu 2011 nl garch unit root test to evaluate robustness of np test iii it con siders the newly developed var garch model to capture the spillover effects in the returns and volatility of op and exr iv it modifies the var garch model to account for structural breaks obtained from the np procedure and v using the results obtained from the var garch model it examines the optimal weights of holding oil and foreign exchange fx assets and also computes the hedging ratios in the presence of oil risk based on the np and nl tests it finds robust structural breaks that coincide with the period of global fi nancial crisis as well as period of fx crisis in nigeria also it establishes a bidirectional returns and spillover transmission between oil and fx markets finally its findings reveal evidence of hedging effectiveness involving oil and fx markets in nigeria and thus the inclusion of oil into a diversified portfolio of fx will improve its risk adjusted return performance

bivariate garch estimation of the optimal commodity futures hedge six different commodities are examined using daily data over two futures contract periods cash and futures prices for all six commodities are found to be well described as martingales with near integrated garch innovations bivariate garch models of cash and futures prices are estimated for the same six commodities the optimal hedge ratio ohr is then calculated as a ratio of the conditional covariance between cash and futures to the conditional variance of futures the estimated ohrs reveal that the standard assumption of a time invariant ohr is inappropriate for each commodity the estimated ohr path appears non stationary which has important implications for hedging strategies

do call prices and the underlying stock always move in the same direction this article empirically analyzes some properties shared by all one dimensional diffusion option models using sp options are not redundant securities nor ideal hedging instruments puts and the underlying asset prices may go down together much of the extant knowledge about option pricing is based on the assumption that the underlying asset price follows a one dimensional diffusion process examples of such option pricing models include the classic black scholes 1973 merton 1973 the cox ross 1976 constant elasticity of variance the ones studied in derman and kani 1994 rubinstein 1994 bergman grundy and wiener 1996 bakshi cao and chen 1997 2000 and dumas fleming and whaley 1998 all models in the one dimensional diffusion class share three basic properties first call prices are monotonically increasing and put prices are monotonically decreasing in the underlying asset price the monotonicity property second as the underlying asset price is the sole source of uncertainty for all of its options option prices must be perfectly correlated with each other and with the underlying asset the perfect

food energy nexus in europe price volatility approach abstract the literature on food biofuel price volatility spillovers is growing published articles so far have widely ignored nonlinearities and the influence of exogenous variables on volatility patterns this article allows for these issues when characterizing eu biodiesel industry price dynamics while brazilian and us ethanol markets have been thoroughly investigated less attention has been paid to eu biodiesel markets pure eu biodiesel and rapeseed oil prices are the object of our research two different methods are applied to model these data a parametric approach and long et al s 2011 semiparametric approach empirical results suggest significant asymmetries in volatility spillovers between pure biodiesel and rapeseed oil prices rapeseed stock levels and euro dollar exchange rates are found to play a significant role in reducing food and biofuel price volatilities

environmental regulations and productivity growth the case of fossil fueled electric power generation this paper measures and analyzes the effect of sulfur dioxide emission restrictions on the rate of productivity growth in the electric power industry over the 1973 79 business cycle a firm specific measure of regulatory intensity is developed which depends on the severity of the emission standard the extent of enforcement and the unconstrained emission rate relevant to each utility the results indicate that emission regulations result in significantly higher generating costs primarily from the increased use of low sulfur fuels the average rate of productivity growth was reduced by 0 59 percentage points per year for constrained utilities

on the measurement of capacity utilization capacity utilization is usually defined as the ratio of actual output to the output corresponding to 1 the minimum point on the short run average total cost curve and 2 the point of tangency between the long run average total cost and short run average total cost curves in practice however capacity utilization is often measured as the ratio of actual to the maximum potential output consistent with a given capital stock this paper demonstrates how to estimate the theoretical measures of capacity utilization and examines the correlation between three measures of capacity utilization and the mcgraw hill estimates of capacity utilization using data from a sample of u s privately owned electric utilities for 1961 83 copyright 1989 by blackwell publishing ltd

information communication technology and electricity consumption in emerging economies abstract this study examines the impact of information communication technology ict on electricity consumption in emerging economies the empirical results obtained from dynamic panel demand models show a positive and statistically significant relationship between ict and electricity consumption when ict is measured using internet connections mobile phones or the number of pcs long run ict elasticities are smaller than income elasticities but because ict growth rates are so much higher than income growth rates the impact of ict on electricity demand is greater than the impact of income on electricity demand one implication of these results is that policies designed to close the digital divide between developed and developing economics by increasing the adoption of ict in developing countries are put at odds with energy policies to reduce ghg emissions

economies of scale and utilization in the swiss electric power distribution industry economies of scale and utilization in the swiss electricity distribution industry are analysed a translog variable cost function was estimated using panel data for a sample of 39 municipal utilities over the period 1988 1991 economies of both scale and utilization appear to exist in the distribution of electricity both for small medium and large sized utilities thus the empirical evidence suggests sub additivity of the cost function over the relevant range of output for the swiss electricity distribution utilities a necessary condition for a natural monopoly to exist

time varying volatility spillover between chinese fuel oil and stock index futures markets based on a dcc garch model with a semi nonparametric approach abstract this paper reveals some new evidence on the volatility spillover between fuel oil and stock index futures markets in china by considering its time variant feature time varying effect is specified by the legendre polynomials in a dcc garch model moreover the semi nonparametric snp approach accounting for marginal excess kurtosis and asymmetry is applied we find different time evolving patterns of volatility spillover across multiple periods due to the structural breaks the direction of mean volatility spillover is found to be bilateral moreover the strength of mean volatility spillover shows that the effect from stock index to fuel oil futures is much stronger than the other way around this implies that the stock index futures market plays a leading role in information processing these findings have important implications for the fuel oil stakeholders as well as risk management

returns to scale from variable and total cost functions abstract estimates of the returns to scale from a variable cost function evaluated at the actual and optimal capital stocks and a total cost function are presented the estimates generally differ depending in part upon the output at which they are evaluated

modeling oil price us stock nexus a varma bekk agarch approach abstract this study adds to the existing literature on oil price us stock nexus in three ways first it employs the varma agarch model developed by mcaleer et al 2009 within the context of bekk framework using west texas intermediate wti and brent as proxies for oil market and s p stocks as a proxy for us stock market secondly it modifies the model to include endogenously determined structural break using the general structure for analyzing breaks with unit roots in perron 2006 third it uses the adopted model to compute optimal portfolio weight and hedge ratios between oil price and us stocks using different sample data based on the break date on average our empirical evidence suggests a significant positive return spillover from us stock market to oil market and bi directional shock spillovers between the two markets in addition there is significant own asymmetric shock effect in both markets while volatility spillover from oil market to stock market became pronounced after the break which coincides with the period of global economic slowdown similarly the results of portfolio management differ across the sample data more importantly we find that ignoring structural break when it exists may exaggerate hedging effectiveness

time varying correlations in oil gas and co2 prices an application using bekk ccc and dcc mgarch models previous literature has identified oil and gas prices as being the main drivers of co2 prices in a univariate generalized autoregressive conditional heteroscedasticity garch econometric framework alberola et al 2008 oberndorfer 2009 by contrast we argue in this article that the interrelationships between energy and emissions markets shall be modelled in a vector autoregressive var and multivariate garch mgarch framework so as to reflect the dynamics of the correlations between the oil gas and co2 variables overtime using the baba engle kraft kroner bekk constant conditional correlation ccc and dynamic conditional correlation mgarch dcc mgarch models on daily data from april 2005 to december 2008 we highlight significant own volatility cross volatility spillovers and own persistent volatility effects for nearly all markets indicating the presence of strong autoregressive conditional heteroscedasticity arch and garch effects besides we provide strong empirical evidence of tim

european natural gas seasonal effects on futures hedging abstract this paper is the first to discuss the design of futures hedging strategies in european natural gas markets nbp ttf and zeebrugge a common feature of energy prices is that conditional mean and volatility are driven by seasonal trends due to weather demand and storage level seasonalities this paper follows and extends the ederington and salas 2008 framework and considers seasonalities in mean and volatility when minimum variance hedge ratios are computed our results show that hedging effectiveness is much higher when the seasonal pattern in spot price changes is approximated with lagged values of the basis futures price minus spot price this fact remains true for short a week and long one three and six months hedging periods furthermore volatility of weekly price changes also has a seasonal pattern and is higher in winter than in summer a simple volatility seasonal model that is based on sinusoidal functions on the basis improves the risk reduction obtained by strategies in which hedging ratios are estimated with linear regressions seasonal hedging strategies linear regression based strategies or even a naive position perform better than more sophisticated statistical methods

using proxies for the short rate when are three months like an instant the dynamics of the unobservable short rate are frequently estimated directly using a proxy we examine the biases resulting from this practice the proxy problem analytic results show that the proxy problem is not economically significant for single factor affine models in the two factor affine model of longstaff and schwartz 1992 the proxy problem is only economically significant for pricing discount bonds with maturities of more than five years we also describe two different numerical procedures for assessing the magnitude of the proxy problem in a general interest rate model when applied to a nonlinear single factor model they suggest that the proxy problem can be economically significant article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

hedging with futures does anything beat the naive hedging strategy this paper investigates out of sample performance of the naive hedging strategy relative to that of the minimum variance hedging strategy in which the covariance parameters are estimated from 18 e

the causal effect of mortgage refinancing on interest rate volatility empirical evidence and theoretical implications this article investigates the effects of mortgage backed security mbs hedging activity on interest rate volatility and proposes a model that takes these effects into account an empirical examination suggests that the inclusion of information about mbss considerably improves model performance in pricing interest rate options and in forecasting future interest rate volatility the empirical results are consistent with the hypothesis that mbs hedging affects the interest rate volatility implied by both options and the actual interest rate volatility the results also indicate that the inclusion of information about the mbs universe may result in models that better describe the price of fixed income securities

forecasting stock return variance toward an understanding of stochastic implied volatilities we examine the behavior of measured variances from the options market and the underlying stock market under the joint hypotheses that markets are informationally efficient and that option prices are explained by a particular asset pricing model forecasts from time series models of the stockreturn process should not have predictive content given the market forecast as embodied in option prices both in sample and out of sample tests suggest that this hypothesis can be rejected using simulations we show that biases inherent in the procedure we use to imply variances cannot explain this result thus we provide evidence inconsistent with the orthogonality restrictions of option pricing models that assume that variance risk is unpriced these results also have implicationsfor optimal variance forecast rules

firm specific knowledge and technical efficiency of watch and clock manufacturing firms in china abstract this paper tests whether firm specific knowledge in terms of capital intensity product differentiation and research and development contribute to an improvement in firm efficiency based on a representative dataset from the watch and clock industry in southern china the technical efficiency is estimated using a non parametric data envelopment analysis approach through a tobit model we investigate whether a firm s specific knowledge influences its efficiency the results suggest that capital intensity and research and development have a positive effect on the efficiency of the sample firms and identify their roles of firm specific knowledge in explaining inter firm variation in efficiency however sample firms with high level of product differentiation were found to have no obvious advantages in efficiency performance

the impact of short selling on the price volume relationship evidence from hong kong this paper considers the relationship between traded volume and volatility allowing for the impact of short sales the evidence supports a nonlinear bidirectional relationship between volume and volatility short selling is found to have a significant impact on this relationship and our results suggest i that the hong kong market displays greater volatility following a period of short selling and ii that asymmetric responses to positive and negative innovations to returns appear to be exacerbated by short selling

term structure movements and pricing interest rate contingent claims this paper derives an arbitrage free interest rate movements model ar model this model takes the complete term structure as given and derives the subsequent stochastic movement of the term structure such that the movement is arbitrage free we then show that the ar model can be used to price interest rate contingent claims relative to the observed complete term structure of interest rates this paper also studies the behavior and the economics of the model our approach can be used to price a broad range of interest rate contingent claims including bond options and callable bonds

analyzing and forecasting volatility spillovers asymmetries and hedging in major oil markets crude oil price volatility has been analyzed extensively for organized spot forward and futures markets for well over a decade and is crucial for forecasting volatility and value at risk var there are four major benchmarks in the international oil market namely west texas intermediate usa brent north sea dubai oman middle east and tapis asia pacific which are likely to be highly correlated this paper analyses the volatility spillover and asymmetric effects across and within the four markets using three multivariate garch models namely the constant conditional correlation ccc vector arma garch varma garch and vector arma asymmetric garch varma agarch models a rolling window approach is used to forecast the 1 day ahead conditional correlations the paper presents evidence of volatility spillovers and asymmetric effects on the conditional variances for most pairs of series in addition the forecast conditional correlations between pairs of crude oil returns have both positive and negative trends moreover the optimal hedge ratios and optimal portfolio weights of crude oil across different assets and market portfolios are evaluated in order to provide important policy implications for risk management in crude oil markets

the asymmetric effects of uncertainty on inflation and output growth we study the effects of growth volatility and inflation volatility on average rates of output growth and inflation for post war us data our results suggest that increased growth uncertainty is associated with significantly lower average growth while higher inflation uncertainty is significantly negatively correlated with lower output growth and lower average inflation both inflation and growth display evidence of significant asymmetric response to positive and negative shocks of equal magnitude copyright 2004 john wiley sons ltd

the pricing of options on default free bonds recent developments in the finance literature dealing with the valuation of contingent claims have been triggered by black and scholes 2 with their valuation of european options on corporate stocks the type of valuation model derived by black and scholes is attractive because it is independent of preferences this independence is possible due to the fact that the contingent claims are usually assumed to be contingent on traded assets or traded state variables for example a european call option is a claim contingent on the value of the corresponding stock to maintain the independence of the claim from preferences however some variables have to be discarded and considered as constants for example the rate of interest which is not a traded state variable is considered a constant in most of the literature see black and scholes 2 merton 11 and ingersoll 9 though this approximation might not cause important discrepancies in the case of corporate liabilities and options on corporate liabilities the effect of such an approximation on the value of default free bonds and options on default free bonds is more important since these liabilities depend only on the rate of interest

stock prices and volume the authors undertake a comprehensive investigation of price and volume co movement using daily new york stock exchange data from 1928 to 1987 they adjust the data to take into account well known calendar effects and long run trends to describe the process they use a seminonparametric estimate of the joint density of current price change and volume conditional on past price changes and volume four empirical regularities are found 1 positive correlation between conditional volatility and volume 2 large price movements are followed by high volume 3 conditioning on lagged volume substantially attenuates the leverage effect and 4 after conditioning on lagged volume there is a positive risk return relation article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

asymmetric predictability of conditional variances we show that there is an asymmetry in the predictability of the volatilities of large versus small firms using both univariate and multivariate arma garch m parameterizations we find that volatility surprises to large market value firms are important to the future dynamics of their own returns as well as the returns of smaller firms conversely however shocks to smaller firms have no impact on the behavior of either the mean or the variance of the returns of larger capitalization companies article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

temporal aggregation of univariate and multivariate time series models a survey abstract we present a unified and up to date overview of temporal aggregation techniques for univariate and multivariate time series models explaining in detail although intuitively the technical machinery behind the results some empirical applications illustrate the main issues

forward contracts and futures contracts abstract this paper provides a detailed discussion of the similarities and differences between forward contracts and futures contracts under frictionless markets and continuous trading simple arbitrage arguments are invoked to value forward contracts to relate forward prices and spot prices and to relate forward prices and futures prices we also argue that forward prices need not equal futures prices unless default free interest rates are deterministic

a wavelet analysis of mean and volatility spillovers between oil and brics stock markets this paper investigates the spillover effects of volatility and shocks between oil prices and the brics stock markets using multivariate approach and wavelet analysis at different time horizons hence we combine a multivariate arma garch model and wavelet multiresolution analysis to study this phenomenon a bivariate arma 1 1 garch 1 1 cdcc student t model was joined with modwt filter to capture a broad range of possible spillover effects in mean and variances of level prices at various time horizons generally empirical results provide strong evidence of time varying volatility in all markets under study however our proposed approach shows that oil price and stock market prices are directly affected by their own news and volatilities and indirectly affected by the volatilities of other prices and wavelet scale the results show also that mean and volatility spillover effects was decomposed into many sub spillovers on different time scales according to heterogeneous investors and market participants the practical implications of this study are critical innovative and useful for the local and international investors and also for the portfolio managers they can utilize this study to formulate the optimal oil bricks stock portfolios as well as lead to more accurate predictions of volatility spillovers patterns also in developing their hedging strategies

analyzing volatility spillovers and hedging between oil and stock markets evidence from wavelet analysis abstract this paper examines the linkage of crude oil market wti and stock markets of the g 7 countries we study the mean and volatility spillovers of oil and stock market prices over various time horizons we propose a new approach incorporating both multivariate garch models and wavelet analysis wavelet based mgarch approach we combine a bivariate garch bekk model with wavelet multiresolution analysis in order to capture the multiscale features of mean and volatility spillovers between time series for optimal portfolio allocation decisions we analyze the multiscale behavior of hedge ratio empirical results show strong evidence of significant volatility spillovers between oil and stock markets as well as time varying correlations for various market pairs however results of wavelet coherence indicate that in most the wti market was leading in addition it is stated that the decomposed volatility spillovers permit investors to adapt their hedging strategies

the pricing of systematic liquidity risk empirical evidence from the us stock market abstract in this study we examine whether aggregate market liquidity risk is priced in the us stock market we define a bivariate garch 1 1 in mean specification for the market portfolio excess returns and the changes in the standardized number of shares in the s p 500 index the aggregate market liquidity proxy the findings based on monthly data suggest that systematic liquidity risk is priced in the us over the period january 1973 december 1997 the liquidity premium represents a non negligible negative and time varying component of the total market risk premium whose magnitude is not influenced by the october 87 crash

on the volatility and comovement of u s financial markets around macroeconomic news announcements the objective of this paper is to provide a deeper insight into the links between financial markets and the real economy to that end we study the short term anticipation and response of u s stock treasury and corporate bond markets to the first release of surprise u s macroeconomic information specifically we focus on the impact of these announcements not only on the level but also on the volatility and comovement of those assets returns we do so by estimating several extensions of the parsimonious multivariate garch dcc model of engle 2002 for the excess holding period returns on seven portfolios of these asset classes we find that both the process of price formation in each of those financial markets and their interaction appear to be driven by fundamentals yet our analysis reveals a statistically and economically significant dichotomy between the reaction of the stock and bond markets to the arrival of unexpected fundamental information we also show that the conditional mean volatility and comovement among stock treasury and corporate bond returns react asymmetrically to the information content of these surprise announcements overall the above results shed new light on the mechanismsbywhichnewinformationisincorporatedintopriceswithinandacrossu s financial markets

measuring and decomposing productivity change measuring productivity change with malmquist indices has become common practice because they are easily computed using nonparametric programming techniques and can be readily decomposed into technical and efficiency change however this approach is nonstochastic and requires a constant returns to scale assumption to construct the reference technology we propose estimating productivity change using a stochastic input distance frontier imposing no restrictions on returns to scale we derive the analogous decomposition of productivity change and develop a generalized method of moments strategy in which outputs or inputs may be endogenous we compare two methods in an application to electric utilities

time varying co movements between energy market and global financial markets implication for portfolio diversification and hedging strategies abstract this study explores the time patterns of volatility spillovers between energy market and stock prices of seven major global financial markets including clean energy energy information technology corporations equity markets and united states economic policy index over the period vary from december 28 2000 to december 31 2018 we employ a time domain connectedness measures of diebold and yilmaz dy 2009 2012 and 2014 to examine spillover mechanism of volatility shocks across future markets optimal weights and hedge ratios are calculated for portfolio diversification and risk management the main findings of the study conclude that oil shocks are exogenous and contribution of oil market volatility to global financial markets is insignificant the returns of world stock index and world energy index are major transmitters of volatility to clean energy market moreover the impact of energy market become strong in global financial market when data is divided into pre during and post financial crisis periods finally the hedge ratios are volatile over time and their maximum value is observed during the financial crisis period of 2008 09 the optimal portfolio between energy and stock prices are heavily weighted to the stock markets

separating bric using islamic stocks and crude oil dynamic conditional correlation and volatility spillover analysis abstract this paper explores the dynamic conditional correlation and volatility linkage between islamic indexes and oil for bric countries correlations between these assets increase during the global financial crisis for india and china but not for brazil and russia the volatility error forecast variance of all five indexes comes from spillover but is much lower compared to volatility spillover between conventional indexes and oil hedging performance of islamic indexes are superior in india and china compared to conventional indexes in emerging markets an optimal minimum variance portfolio without reducing expected return can be achieved by investing in lower weights of bric islamic indexes and oil compared to conventional indexes

the limitation of monotonicity property of option prices an empirical evidence many option pricing models are based on the assumption that the underlying asset price follows one dimensional diffusion process an alternative approach is to test the properties that should hold for all models based on a given stochastic process for the underlying asset following perignon 2006 we test the empirical validity of the monotonicity property for option prices by collecting all transaction data from 1 july 2006 to 31 december 2006 for option contracts traded on the taiwan futures exchange taifex we find that sampled intraday option prices violate the monotonicity property between 29 97 and 57 of the time and that call and put prices often increase or decrease together we also find evidence to show that the frequent violations of the monotonicity property are to a large extent attributable to microstructure effects and that they arise from rational trading tactics

forecasting the comovements of spot interest rates abstract time varying covariance models are compared in the french and german interest rate markets of the pre euro period a bivariate asymmetric dynamic covariance model with level effect best characterizes the in sample variance covariance dynamics model comparison using economic loss functions raises some doubts with alternative models performing similarly out of sample results show that the variance covariance matrix is best forecasted using a vech model with level effect but no volatility spillover not entirely confirming the in sample evidence simple models using exponentially weighted moving averages of past observations perform similarly to the best bivariate model thus some features required to obtain a good in sample fit do not have additional out of sample forecasting power due to overfitting

the impact of it investment on energy japan and us comparison in 2010 abstract we developed an economic model and an energy model and used them to analyze the effects of information technology it investment on energy consumption and co 2 emissions in the us and japan the analysis involved mainly calculations for two cases business as usual and stimulated it investment we also tested the oft posited possibility that advancing it investment in the us is already lowering that country s energy intensity energy gdp our analyses determined that 1 increasing it lowers energy co 2 intensity and 2 an increase or decrease in overall energy consumption depends on which trend is stronger the income effect caused by economic vitalization from increased it use increasing energy consumption or the substitution effect by change in the industrial structure as seen in the shift away from smokestack industries decreasing energy consumption according to our calculations japan would conserve more energy by promoting it than not on the other hand because the substitution effect is already advanced in the us further increasing it use in the future will have a large income effect and increase energy use

does the new economy measure up to the great inventions of the past abstract during the four years 1995 99 u s productivity growth experienced a strong revival and achieved growth rates exceeding that of the golden age of 1913 72 accordingly many observers have declared the new economy to be an industrial revolution even more important than the second industrial revolution of 1860 1900 which made the golden age of productivity growth possible this paper dissects the recent productivity revival subtracts out a cyclical component and concludes that there is no revival of the productivity growth trend in the 88 percent of the private economy lying outside of the durables manufacturing sector the paper explains this surprising finding by pointing to limitations in computers and the internet in comparison with the great inventions of the past

dynamics of realized volatilities and correlations an empirical study abstract this study examines two important issues underlying realized volatility and correlation estimators first an empirical inquiry is conducted to assess whether bax and eurodollar futures tick by tick data can be characterized as marked point processes second arma neural network garch bekk and naive volatility and correlation forecasts are compared in an out of sample context when a trader prices an interest rate spread option based on those forecasts and simultaneously delta hedges her position other loss functions are also considered competing volatility forecasts are also compared to implied volatilities

price and volatility dynamics between electricity and fuel costs some evidence for spain abstract the purpose of this study is to investigate the causal linkages between the spanish electricity brent crude oil and zeebrugge belgium natural gas 1 month ahead forward prices following lutkepohl et al 2004 we control for the presence of a structural change in the series and then we use the johansen cointegration test and a vector error correction model vecm to embrace the analysis additionally a multivariate generalized autoregressive conditional heteroskedastic garch model is applied to explore volatility interactions between the three markets involved in the study our findings reveal that brent crude oil and zeebrugge natural gas forward prices play a prominent role in the spanish electricity price formation process furthermore causation both in price and volatility runs from brent crude oil and natural gas forward markets to the spanish electricity forward market these results are of practical importance for both the wholesale and retail markets participants as well as the regulator through the established link between the forward contracts price and the spanish tariff of last resort paid by more than 23 million of customers

conditional volatility skewness and kurtosis existence persistence and comovements abstract recent portfolio choice asset pricing value at risk and option valuation models highlight the importance of modeling the asymmetry and tail fatness of returns these characteristics are captured by the skewness and the kurtosis we characterize the maximal range of skewness and kurtosis for which a density exists and show that the generalized student t distribution spans a large domain in the maximal set we use this distribution to model innovations of a garch type model where parameters are conditional after demonstrating that an autoregressive specification of the parameters may yield spurious results we estimate and test restrictions of the model for a set of daily stock index and foreign exchange returns the estimation is implemented as a constrained optimization via a sequential quadratic programming algorithm adequacy tests demonstrate the importance of a time varying distribution for the innovations in almost all series we find time dependency of the asymmetry parameter whereas the degree of freedom parameter is generally found to be constant over time we also provide evidence that skewness is strongly persistent but kurtosis is much less so a simulation validates our estimations and we conjecture that normality holds for the estimates in a cross section setting we also document covariability of moments beyond volatility suggesting that extreme realizations tend to occur simultaneously on different markets

a general index of technical change this paper outlines a procedure for estimating a general index of technical change within the context of a quite general production technology specifically when panel data are available for firms in an industry time specific dummies can be combined in a nonlinear estimation procedure to yield a general index of technical change that may be both nonneutral and scale augmenting this approach offers numerous advantages over the traditional time trend representation of technical change for example the general index can serve as the basis for analysis of the determinants of technical change results for a sample of 30 electric utilities over the period 1951 78 show that the productivity decline of the 1970s can be attributed primarily to sulphur oxide restrictions and secularly declining capacity utilization due to rapidly increasing peak load demands

the sensitivity of productivity growth measures to alternative structural and behavioral assumptions an application to electric utilities 1951 1984 this article examines the sensitivity of three alternative multifactor productivity growth estimates for the electric utility industry during the 1951 1984 period the results indicate that multifactor productivity growth estimates are quite sensitive to the relaxation of various structural and behavioral assumptions first a benchmark measure is constructed along the lines suggested by solow 1957 this residual approach produces estimates that suggest a substantial decline in firm level productivity growth after the mid 1960s prior to obtaining the second and third estimates empirical tests of the structural and behavioral assumptions underlying a firm s operation are conducted first the structural assumption of constant returns to scale is rejected and the resulting long run scale adjusted multifactor productivity growth estimates are found to be consistently less than the residual estimates second the behavioral assumption of long run equilibrium is rejected comparing the long run scale ad

economies of scale and utilization in electricity generation in kuwait cost structure of electricity generation in kuwait has been examined with specific focus on the economies of scale and utilization this has been done by estimating a translog variable cost function using time series data covering the period from 1965 to 1990 the results indicate the existence of diseconomies of scale in the generation of electricity but no economies or diseconomies of utilization

option pricing where the underlying assets follow a gram charlier density of arbitrary order abstract if a probability distribution is sufficiently close to a normal distribution its density can be approximated by a gram charlier series a expansion in option pricing this has been used to fit risk neutral asset price distributions to the implied volatility smile ensuring an arbitrage free interpolation of implied volatilities across exercise prices however the existing literature is restricted to truncating the series expansion after the fourth moment this paper presents an option pricing formula in terms of the full untruncated series and discusses a fitting algorithm which ensures that a series truncated at a moment of arbitrary order represents a valid probability density while it is well known that valid densities resulting from truncated gram charlier series a expansions do not always have sufficient flexibility to fit all market observed option prices perfectly this paper demonstrates that option pricing in a model based on these densities is as tractable as the far less flexible original model of black and scholes 1973 allowing non trivial higher moments such as skewness excess kurtosis and so on to be incorporated into the pricing of exotic options generalising the gram charlier series a approach to the multiperiod multivariate case a model calibrated to standard option prices is developed in which a large class of exotic payoffs can be priced in closed form furthermore this approach when applied to a foreign exchange option market involving several currencies can be used to ensure that the volatility smiles for options on the cross exchange rate are constructed in a consistent arbitrage free manner

optimal dynamic hedging portfolios and the currency composition of external debt abstract we present a model which shows that the currency composition of a country s external debt can serve as a hedging instrument against changes in exchange rates and commodity prices because our model permits the second moments to change through time we get a sequence of optimal dynamic hedging portfolios which can be estimated with a multivariate generalized autoregressive conditional heteroskedasticity garch model to illustrate the usefulness of the technique we apply it to indonesia and it is found as expected that indonesia s optimal debt portfolio consists of a much larger proportion of us dollars and a much smaller proportion of japanese yen than they have in their current debt portoflio

regional differences in electricity distribution costs and their consequences for yardstick regulation of access prices abstract in this paper we estimate an average cost function for a panel of 59 swiss local and regional electricity distribution utilities as a basis for yardstick regulation of the distribution network access prices shleifer 1985 proposed yardstick competition in terms of price to regulate local monopolies producing a homogeneous good the regulated price for the individual firms depends on the average costs of identical firms the yardstick competition concept can also be applied to firms that produce heterogeneous goods if these goods differ only in observable characteristics to correct the yardstick for heterogeneity the regulator can use a multivariate estimation of an average cost function in the case of electricity distribution the heterogeneity of output consists mainly of different characteristics of the distribution service areas in this paper we follow shleifer s suggestion to estimate a multivariate average cost function that can be employed by the regulatory commission to benchmark network access prices at the distribution level several exogenous variables measuring the heterogeneity of the service areas were included in the cost model specification we find that the regional differences of the service areas e g area shares of forests agricultural areas or unproductive land and population density significantly influence electricity distribution costs

volatility spillovers and cross hedging between gold oil and equities evidence from the gulf cooperation council countries the paper examines the return and volatility spillovers between crude oil gold and equities and investigates the usefulness of the two commodities in hedging equity portfolios using daily data from january 20043 to may 2016 for the gulf cooperation council countries a dcc garch model is used to estimate dynamic correlations and hedge ratios we find significant spillovers from oil to equities highlighting the heavy dependence of the local economies on oil moreover the spillovers of gold on the stock markets are insignificant suggesting that gold price fluctuations do not necessarily influence equity investment decisions in the opposite direction we find that equities do not exert significant influence on the two commodities which we attribute to the relatively small capitalisation of the exchanges our results reveal low dynamic correlations and hedge ratios with a few spikes during crises indicating that oil and gold are cheap hedges for stocks albeit not good ones while they could be considered as weak safe havens but at a considerable cost

improving diversification opportunities for socially responsible investors socially responsible investment sri has grown enormously and has expanded globally in recent years it allows sri investors to reduce their portfolio risk assumptions through international diversification in this context the aim of this paper is twofold i to examine price and volatility linkages among the most representative sri indexes for north america europe and asia pacific employing a multivariate approach and ii to provide the out of sample performance of an optimal portfolio constructed on the basis of time varying return and volatility forecasts from this specification approach our overall results show that using this technique it is possible to reduce risk and out perform the naive rule which is usually employed in this type of investment these findings are relevant not only for academics but also for practitioners especially for professional managers of sri portfolios

co movement of the chinese and u s aggregate stock returns this article studies the co movement of the levels as well as of the volatilities of the chinese and u s aggregate stock returns in 1995 2014 focusing on the impact of the liberalization of chinese stock market from 2005 the volatilities of the two returns appear to have started to co move in 2006 to understand the co movement we use the garch bekk method the result suggests that before 2006 the evolution of the u s returns had a tendency to affect the chinese returns in level and volatility however after 2006 the two returns affected each other in a more complex way

the effects of internet usage and economic growth on co2 emissions in oecd countries a panel investigation this paper estimates the short and long run effects of internet usage and economic growth on carbon dioxide co2 emissions using oecd panel data for the period 1991 2012 the pedroni panel cointegration test confirms that the variables are cointegrated although pooled mean group pmg estimates indicate a positive significant long run relationship between internet usage and co2 emissions the coefficient is very small and no causality exists between them which both imply that the rapid growth in internet usage is still not an environmental threat for the region the study further indicates that economic growth has no significant short run and long run effects on co2 emissions internet use stimulates both financial development and trade openness the findings offer support in favor of the argument that oecd countries can promote their internet usage without being significantly concerned about its environmental consequences but the future emissions effect of internet usage cannot be ruled out as is evident from the variance decomposition analysis therefore this study recommends that in addition to boosting the existing measures for combating co2 emissions oecd countries need to use ict equipment not to simply reduce its own carbon footprint but also to exploit ict enabled emissions abatement potential to reduce emissions in other sectors such as the power energy agricultural transport and service sectors

how important is intertemporal risk for asset allocation how important is merton s intertemporal risk for asset allocation decisions to address this question we jointly estimate and test a conditional asset pricing model which includes long term interest rate risk as a potentially priced factor for four broad classes of assets large stocks small stocks long term treasury bonds and corporate bonds we find that the premium for long bond risk is the main component of the risk premiums of treasury bond and corporate bond portfolios while it represents a small fraction of total risk premiums for equities our results suggest that investors perceive stocks and especially small stocks as hedges against variations in the investment opportunity set since these four asset classes represent some of the most important for investors we proceed to use our estimates to compute the optimal asset allocations for investors who optimize with or without taking into account the intertemporal risk we provide a set of measures to investigate the importance of this risk we find that at average market volatility levels investors can earn annual premiums between 3 6 during expansions and 5 8 during recessions for bearing intertemporal risk alone these results underscore the importance of explicitly considering intertemporal risk in asset allocation decisions especially during down markets and business recessions

another look at models of the short term interest rate the short term rate of interest is fundamental to much of theoretical and empirical finance yet no consensus has emerged on the dynamics of its volatility we show that models which parameterize volatility only as a function of interest rate levels tend to over emphasize the sensitivity of volatility to levels and fail to model adequately the serial correlation in condi tional variances on the other hand serial correlation based models like garch models fail to capture adequately the relationship between interest rate levels and volatility we introduce and test a new class of models for the dynamics of short term interest rate volatility which allows volatility to depend on both interest rate levels and information shocks two important conclusions emerge first the sensitivity of interest rate volatility to interest rate levels has been overstated in the literature while this relationship is important adequately modeling volatility as a function of unexpected information shocks is also important sec ond we conclude that the volatility processes in many existing theoretical models of interest rates are misspecified and suggest new paths toward improving the theory

the performance of alternative interest rate risk measures and immunization strategies under a heath jarrow morton framework using a monte carlo simulation this study addresses the question of how traditional risk measures and immunization strategies perform when the term structure evolves in a heath jarrow morton 1992 manner the results suggest that for immunization purposes im munization strategies and portfolio formation strategies are more important than interest rate risk measures the performance of immunization strategies depends more on the transaction costs and the holding period than on the risk measures moreover the immu nization performance of bullet and barbell portfolios is not very sensitive to interest rate risk measures

implied volatility functions in arbitrage free term structure models abstract we test six term structure models in the heath jarrow and morton 1992 class using eurodollar futures and options data from 1987 1992 we study the time series of implied interest rate volatilities from these models using one day lagged implied volatilities our one and two parameter models simultaneously price an average of 18 5 options each day with an average absolute error of one and a half to two basis points although the models fit well we document systematic strike price and time to maturity biases for all models we also implement simple trading strategies to test whether the models identify genuine biases

caviar conditional autoregressive value at risk by regression quantiles value at risk var has become the standard measure of market risk employed by financial institutions for both internal and regulatory purposes var is defined as the value that a portfolio will lose with a given probability over a certain time horizon usually one or ten days despite its conceptual simplicity its measurement is a very challenging statistical problem and none of the methodologies developed so far give satisfactory solutions interpreting the var as the quantile of future portfolio values conditional on current information we propose a new approach to quantile estimation which does not require any of the extreme assumptions invoked by existing methodologies such as normality or i i d returns the conditional autoregressive value at risk or caviar model moves the focus of attention from the distribution of returns directly to the behavior of the quantile we specify the evolution of the quantile over time using a special type of autoregressive process and use the regression quantile framework introduced by koenker and bassett to determine the unknown parameters since the objective function is not differentiable we use a differential evolutionary genetic algorithm for the numerical optimization utilizing the criterion that each period the probability of exceeding the var must be independent of all the past information we introduce a new test of model adequacy the dynamic quantile test applications to simulated and real data provide empirical support to this methodology and illustrate the ability of these algorithms to adapt to new risk environments

productivity scale economies and technical change reconsidered recently several writers have presented theoretical arguments and empirical evidence that suggests that an electric utility s long run productivity growth rate can be decomposed into a variety of factors for example gollop and roberts 12 decompose a utility s total factor productivity growth rate into three distinct components 1 technical change 2 a scale effect and 3 an environmental regulatory factor results for the 1970s indicate that declining rates of technical change and output growth coupled with increased regulatory intensity lead to a noticeable decline in the firm s long run productivity growth rate similarly nelson and wohar 15 examine the impact of technical change scale economies and rate of return regulation on an electric utility s longrun productivity growth rate evidence suggests that the technical change and scale components behaved in a manner similar to the gollop and roberts 12 findings the evidence concerning the impact of the regulatory factor was less convincing due to the difficulty in obtaining reliable estimates of the regulatory constraint parameter a common characteristic of this literature is that the firms under investigation are assumed to employ all inputs at their long run cost minimizing levels as such the productivity decomposition model is primarily concerned with distinguishing between shifts in the production function versus movements along the production structure according to caves christensen and swanson 5 a violation of the long run equilibrium assumption adds an equally important factor to the decomposition of productivity growth specifically the movement toward or away from longrun equilibrium as a consequence researchers must further distinguish between long run and short run productivity growth estimates 2 in a recent article 9 daly and rao illustrate theoretically and empirically using a long run cost function and data pertaining to ontario hydro that a firm s long run productivity growth rate can be decomposed into 1 technical change 2 non constant returns to scale and 3 a capacity

modeling asymmetric comovements of asset returns existing time varying covariance models usually impose strong restrictions on how past shocks affect the forecasted covariance matrix in this article we compare the restrictions imposed by the four most popular multivariate garch models and introduce a set of robust conditional moment tests to detect misspecification we demonstrate that the choice of a multivariate volatility model can lead to substantially different conclusions in any application that involves forecasting dynamic covariance matrices like estimating the optimal hedge ratio or deriving the risk minimizing portfolio we therefore introduce a general model which nests these four models and their natural asymmetric extensions the new model is applied to study the dynamic relation between large and small firm returns article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies