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

agricultural price instability a survey of competing explanations and remedies there are two explanations for agricultural price dynamics one follows cobweb logic and models fluctuations driven by expectation errors but emphasises that these expectations create complex dynamics and possibly chaos the other stems from the rational expectations tradition of dynamics driven by real shocks the empirical evidence tends to support the latter but is not conclusive the rational expectations model generates an optimal dynamic path from which no improvement can be expected from public intervention however if we take account of all the potential market failures in agricultural markets and especially in developing countries this conclusion might require some qualifications although an appropriate policy design for stability has still to be achieved this paper surveys the positive and normative literature on agricultural prices highlighting empirical evidence and identifying remaining unresolved issues

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

supply and demand driven oil price changes and their non linear impact on precious metal returns a markov regime switching approach abstract this paper examines the nonlinear effect of oil price shocks on precious metal returns using markov regime switching regression we use ready s 2018 approach to decompose oil price changes into supply demand and risk driven shocks results indicate a significant positive impact of demand and supply shocks and a negative impact of risk shocks on precious metal returns although we find evidence of switching between low and high volatility regimes we do not find strong regime effect on supply or demand shocks contemporaneous relationship with precious metal returns however risk shocks influence on precious metal returns is strongly regime dependent these results generally hold for different distributional specification of error terms

political economy of public policies insights from distortions to agricultural and food markets the agricultural and food sector is an ideal case for investigating the political economy of public policies many of the policy developments in this sector since the 1950s have been sudden and transformational while others have been gradual but persistent this paper reviews and synthesizes the literature on trends and fluctuations in market distortions and the political economy explanations that have been advanced based on a rich global data set covering a half century of evidence on commodities countries and policy instruments the paper identifies hypotheses that have been explored in the literature on the extent of market distortions and the conditions under which reform may be feasible

the impact of oil shocks on exchange rates a markov switching approach abstract this paper uses markov switching models to investigate the impact of oil shocks on real exchange rates for a sample of oil exporting and oil importing countries this is an important topic to study because an oil shock can affect a country s terms of trade which can affect its competitiveness we detect significant exchange rate appreciation pressures in oil exporting economies after oil demand shocks we find limited evidence that oil supply shocks affect exchange rates global economic demand shocks affect exchange rates in both oil exporting and importing countries though there is no systematic pattern of appreciating and depreciating real exchange rates the results lend support to the presence of regime switching for the effects of oil shocks on real exchange rates

the effects of commodity price stabilization programs in this paper the authors analyze the effects of commodity programs in which the government attempts to support and stabilize price through open market purchases and sales specifically they as sess the effects of such programs on the u s soybean market using a rational expectations model that allows for private storage expected price responsive production and arbitrary support and release price s a salient feature of the model is that private storage and product ion behavior adjusts to changes in government policy stochastic simu lations of the market model demonstrate that price stabilization prog rams can reduce long run market price and destabilize producer revenu e copyright 1988 by american economic association

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

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

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

estimating structural models of equilibrium and cognitive hierarchy thinking in the field the case of withheld movie critic reviews film studios occasionally withhold movies from critics before their release because the unreviewed movies tend to be below average in quality this practice provides a useful setting in which to test models of limited strategic thinking do moviegoers seem to realize that no review is a sign of low quality a companion paper showed that in a set of all widely released movies in 2000 2009 cold opening produces a significant 20 30 increase in domestic box office revenue which is consistent with moviegoers overestimating quality of unreviewed movies perhaps due to limited strategic thinking this paper reviews those findings and provides two models to analyze this data an equilibrium model and a behavioral cognitive hierarchy model that allows for differing levels of strategic thinking between moviegoers and movie studios the behavioral model fits the data better because moviegoer parameters are relatively close to those observed in experimental subjects these results suggests that limited strategic thinking rather than equilibrium reasoning may be a better explanation for naive moviegoer behavior this paper was accepted by brad barber behavioral economics

do security analysts speak in two tongues why do security analysts issue overly positive recommendations we propose a novel approach to distinguish strategic motives e g generating small investor purchases and pleasing management from nonstrategic motives genuine overoptimism we argue that nonstrategic distorters tend to issue both positive recommendations and optimistic forecasts while strategic distorters speak in two tongues issuing overly positive recommendations but less optimistic forecasts we show that the incidence of strategic distortion is large and systematically related to proxies for incentive misalignment our two tongues metric reveals strategic distortion beyond those indicators and provides a new tool for detecting incentives to distort that are hard to identify otherwise

efficiency of the market for racetrack betting many racetrack bettors have systems since the track is a market similar in many ways to the stock market one would expect that the basic strategies would be either fundamental or technical in nature fundamental strategies utilize past data available from racing forms special sources etc to handicap races the investor then wagers on one or more horses whose probability of winning exceeds that determined by the odds by an amount sufficient to overcome the track take technical systems require less information and only utilize current betting data they attempt to find inefficiencies in the market and bet on such overlays when they have positive expected value previous studies and our data confirm that for win bets these inefficiencies which exist for underbet favorites and overbet longshots are not sufficiently great to result in positive profits this paper describes a technical system for place and show betting for which it appears to be possible to make substantial positive profits and thus to demonstrate market inefficiency in a weak form sense estimated theoretical probabilities of all possible finishes are compared with the actual amounts bet to determine profitable betting situations since the amount bet influences the odds and theory suggests that to maximize long run growth a logarithmic utility function is appropriate the resulting model is a nonlinear program side calculations generally reduce the number of possible bets in any one race to three or less hence the actual optimization is quite simple the system was tested on data from santa anita and exhibition park using exact and approximate solutions that make the system operational at the track given the limited time available for placing bets and found to produce substantial positive profits a model is developed to demonstrate that the profits are not due to chance but rather to proper identification of market inefficiencies

modern input promotion in sub saharan africa insights from asian green revolution using case materials from four major cereal growing countries in asia bangladesh india indonesia and pakistan the article analyzes key aspects of agricultural input policies in asia results suggest that asian policies differ from the current wave of african input subsidy programs in three important ways i instead of focusing mostly on seed and chemical fertilizer input promotion in asia involved a package approach involving investments in agricultural rd ii farmers in three of four countries paid higher prices net taxed for fertilizer during the height of the green revolution suggesting that it was the profitability not the subsidy that was central to increasing fertilizer use and iii asian countries did not target input subsidies but given leakage and diversion estimates of targeted programs it is unclear whether targeting would have been more cost effective both continents have two challenges in common degradation of soil health and increasingly larger shares of public spending on input subsidies the first challenge calls for paying attentions to improving fertilizer use efficiency which is an achievable target with high pay off in the long run the other challenge is now a historical fact that is once introduced subsidies are hard to eliminate even if they no longer contribute to agricultural productivity growth

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

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

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

who thinks about the competition managerial ability and strategic entry in us local telephone markets we examine us local telephone markets shortly after the telecommunications act of 1996 the data suggest that older experienced educated managers tend to enter markets with fewer competitors this motivates a structural econometric model based on behavioral game theory that allows heterogeneity in managers ability to correctly conjecture competitor behavior we find that manager characteristics are key determinants in managerial ability furthermore our estimate of ability predicts out of sample success counterfactuals provide insight into the industry s struggles despite substantial indirect subsidies it is only when the ability to correctly conjecture competitor behavior is high that firms enter empty markets

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

a markov switching model of the conditional volatility of crude oil futures prices abstract this paper examines the temporal behaviour of volatility of daily returns on crude oil futures using a generalised regime switching model that allows for abrupt changes in mean and variance garch dynamics basis driven time varying transition probabilities and conditional leptokurtosis this flexible model enables us to capture many complex features of conditional volatility within a relatively parsimonious set up we show that regime shifts are clearly present in the data and dominate garch effects within the high volatility state a negative basis is more likely to increase regime persistence than a positive basis a finding which is consistent with previous empirical research on the theory of storage e g fama and french 1988a fama and french 1988b and ng and pirrong 1994 the volatility regimes identified by our model correlate well with major events affecting supply and demand for oil out of sample tests indicate that the regime switching model performs noticeably better than non switching models regardless of evaluation criteria we conclude that regime switching models provide a useful framework for the financial historian interested in studying factors behind the evolution of volatility and to oil futures traders interested short term volatility forecasts

international commodity agreements an obituary notice abstract it is widely believed that international commodity agreements have lapsed because they have failed the reality is more complex the tin agreement did collapse but for sugar and cocoa adverse market conditions and lack of general support made stabilization impractical control of the coffee market ceased largely because of disagreements both between and within the producing countries on the division of the benefits resulting from higher prices overall commodity control fits uneasily in an increasingly globalized and competitive world and this perception has resulted in a diminished willingness to resolve the practical difficulties of price stabilization

are commodity prices chaotic we conduct tests for the presence of low dimensional chaotic structure in the futures prices of four important agricultural commodities though there is strong evidence of non linear dependence the evidence suggests that there is no long lasting chaotic structure the dimension estimates for the commodity futures series are generally much higher than would be for low dimension chaotic series our test results indicate that autoregressive conditional heteroskedasticity arch type processes with controls for seasonality and contract maturity effects explain much of the non linearity in the data we make a case that employing seasonally adjusted price series is important in obtaining robust results via some of the existing tests for chaotic structure finally maximum likelihood methodologies that are robust to the non linear dynamics lend strong support to the samuelson hypothesis of maturity effects in futures price changes 2002 elsevier science b v all rights reserved

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

on the relationship between the prices of oil and the precious metals revisiting with a multivariate regime switching decision tree this study examines the volatility and correlation and their relationships among the euro us dollar exchange rates the s p500 equity indices and the prices of wti crude oil and the precious metals gold silver and platinum over the period 2005 to 2012 our model links the univariate volatilities with the correlations via a hidden stochastic decision tree the ensuing hidden markov decision tree hmdt model is in fact an extension of the hidden markov model hmm introduced by jordan et al 1997 the architecture of this model is the opposite that of the classical deterministic approach based on a binary decision tree and it allows a probabilistic vision of the relationship between univariate volatility and correlation our results are categorized into three groups namely 1 exchange rates and oil 2 s p500 indices and 3 precious metals a switching dynamics is seen to characterize the volatilities while in the case of the correlations the series switch from one regime to another this movement touching a peak during the period of the subprime crisis in the us and again during the days following the tohoku earthquake in japan our findings show that the relationships between volatility and correlation are dependent upon the nature of the series considered sometimes corresponding to those found in econometric studies according to which correlation increases in bear markets at other times differing from them

india s grain security policy in the era of high food prices a computable general equilibrium analysis this study uses a computable general equilibrium model to evaluate the fiscal and welfare costs of the market stabilisation and insulating food policy of india during the 2007 08 global food crisis we demonstrate that domestic food grain price stabilisation through simultaneously subsidising consumers and producers and restricting exports entailed huge fiscal costs and equally large welfare costs to india an outcome that is almost always the worst as compared to the alternative policy mixes examined in this study while the most market oriented domestic and trade policy alternatives that would generate better welfare effects and the least fiscal costs may not be feasible due to political economy considerations we argue that there exist some middle ground policy mixes featuring partial relaxations of domestic subsidies on either food grains or fertilisers and or less restrictive border policies which are superior in terms of their welfare effects and fiscal costs and might also be politically feasible these findings have important implications on the ongoing debates on india s food security policy particularly in relation to the discussion on its national food security act

racetrack betting and informed behavior abstract horse racing data permit interesting tests of attitudes toward risk the present paper studies a new sample of racetrack results from atlantic city new jersey the questions examined are 1 are the market odds the best data for predicting the order of finish 2 do horses go off at odds that reflect their true probability of winning 3 is there any evidence that late bettors have better information than early bettors it is found that market odds predict the order of finish well but that favorites are good bets and long shots are poor ones the data suggest that there does exist an informed class of bettors and that bettors are on the whole neither risk neutral nor risk averse

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

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

export restrictions and price insulation during commodity price booms for individual countries variable trade barriers can be used to reduce the volatility of domestic relative to world prices if this is done by countries accounting for a large share of the market its effect is offset by increases in world price volatility this study shows the nature of the resulting collective action problem with the policy being ineffective on average in stabilizing domestic prices while increasing the volatility of the income transfers from terms of trade changes a simple approach to assessing the contribution of insulation to the price increases is developed and used with new estimates of agricultural distortions to assess its contribution to the price spikes in 1972 74 and 2006 08 for rice and wheat the analysis suggests that 45 percent of the increase in rice prices in 2006 08 and 30 percent of the increase in wheat prices was due to insulating behavior one sign of progress since 1972 74 was a substantial reduction in the extent of price insulating behavior by the industrial countries this provides little stabilizing benefit in the rice market because countries not classifying themselves at the world trade organization as developing account for only 3 percent of world rice consumption but it does offer some benefit for the wheat market where non developing countries account for 27 percent of consumption

adaptive learning and roads to chaos the case of the cobweb abstract we investigate the dynamics of the cobweb model with adaptive expectations a linear demand curve and a nonlinear s shaped increasing supply curve both stable periodic and chaotic price behaviour can occur we investigate how the dynamics of the model depend on the parameters both infinitely many period doubling and period halving bifurcations can occur when the demand curve is shifted upwards the same result holds with respect to the expectations weight factor

selling to biased believers strategies of online lottery ticket vendors i introduction do sellers in the marketplace take advantage of the belief biases of their consumers models of markets typically assume that sellers are profit maximizing consumers are utility maximizing and both sides of the market have accurate unbiased beliefs however an increasing collection of evidence shows that the presence of cognitive and strategic heterogeneity can account for many stylized facts in the marketplace which appear puzzling when confined to the framework of classical models we examine the behavior of sellers in a popular online market which provides an unusual opportunity to identify seller exploitation of biased beliefs held by buyers the chinese collective lottery betting market in this market shares of ticket portfolios for china s national lottery are sold commissions are charged by the sellers and the success rates of sellers are made public as in most state run lotteries success is completely random with known probabilities that are independent of previous outcomes these objective probabilities allow us to cleanly detect deviations from rational beliefs among buyers and assess the corresponding responses by sellers in the market to these demand shocks of buyers we find evidence that sellers cater to the biased beliefs of lottery ticket buyers by tailoring certain features of their portfolio product specifically collective lottery portfolio sellers adjust their sales strategies in response to demand fluctuations that are driven by buyers biased beliefs about the correlation of past and future lottery outcomes lottery ticket buyers tend to purchase tickets with numbers which have not recently won in accordance with previous evidence of the gambler s fallacy in lottery sales clotfelter and cook 1993 terrell 1994 ticket buyers also tend to purchase tickets from those ticket sellers who have recently experienced an exogenous increase in their win rates in accordance with previous evidence of the hot hand fallacy croson and sundali 2005 guryan and kearney 2008 1 we find combined evidence that lottery portfolio sellers take advantage of buyers belief in the hot hand fallacy in the following ways 1 directly following a previous win in their portfolio sellers increase their commission rate charged to the buyers to be collected as a percentage of the lottery winnings sellers are thus able to collect more commission money from the buyers conditional on winning 2 sellers offer portfolios of larger value and more ticket coverage directly following a large win in their portfolio using this strategy sellers increase their chances of holding a winning ticket in the current round as well as being able to collect more commission money conditional on winning 3 sellers self invest less in their own portfolios after a large win when their popularity among buyers in the market is high by purchasing a lower share of their portfolios on their own sellers are able to obtain a larger expected return without investing their personal money we also find some evidence consistent with lottery ticket sellers adapting to buyers belief in the gambler s fallacy first sellers generally tend to offer lottery number portfolios which are numerically dissimilar to recent winning tickets thus appealing to buyers with gambler s fallacy beliefs although the more numerically dissimilar the portfolio is to the previous winning ticket the less the seller himself invests in it sellers who have proposed very similar numbers compared to the previous winning ticket on the other hand self invest more thus entering the lottery with higher expected returns under the pari mutuel prize structure this self investment pattern is not consistent with the alternative story that sellers themselves subscribe equally to the gambler s fallacy compared to buyers our paper is unique to the existing evidence in this area in that we are the first to our knowledge to study sellers responses to consumers probabilistic belief biases specifically the gambler s fallacy and hot hand fallacy

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

the causal nexus between oil prices and equity market in the u s a regime switching model abstract the aim of this paper is to analyse the causal link between monthly oil futures price changes and a sub grouping of s p 500 stock index changes the causal linkage between oil and stock markets is modelled using a vector autoregressive model with time varying parameters so as to reflect changes in granger causality over time a markov switching vector autoregressive ms var model in which causal link between the series is stochastic and governed by an unobservable markov chain is used for inferring time varying causality although we do not find any lead lag type granger causality the results based on the ms var model clearly show that oil futures price has strong regime prediction power for a sub grouping of s p 500 stock index during various sub periods in the sample while there is a weak evidence for the regime prediction power of a sub grouping of s p 500 stock indexes the regime prediction non causality tests on the ms var model show that both variables are useful for making inference about the regime process and that the evidence on regime prediction causality is primarily found in the equation describing a sub grouping of s p 500 stock market returns the evidence from the conditional non causality tests shows that past information on the other series fails to improve the one step ahead prediction for both oil futures and stock returns

the indian public distribution system as provider of food security evidence from child nutrition in andhra pradesh abstract we study whether a sudden increase of the price of rice supplied by the indian public distribution system in andhra pradesh a large indian state had a negative impact on child nutrition a few months after the price increase a health survey started to record weight for a large sample of children the data collection continued for several months so that children measured later lived for a longer period of time in a less favorable price regime using different estimation techniques we find that longer exposure to high prices are not accompanied by worse nutritional status as measured by weight for age