quantile dependence of oil price movements and stock returns we examine the impact of quantile and interquantile oil price movements on different stock return quantiles by testing the hypothesis of equality in conditional and unconditional quantile distribution functions of stock returns we capture quantile dependence under different stock market conditions while taking into account different kinds of oil price movements by computing unconditional and conditional stock return quantiles through marginal models for stock returns and copula functions for oil stock dependence analyzing stock return data for three developed economies the us the uk and the european monetary union and the five brics countries brazil russia india china and south africa for 2000 to 2014 our results indicate that 1 the impact of extreme upward and downward oil price changes on upper and lower stock price quantiles was much smaller before compared to after crisis onset 2 the downside spillover effects were larger than the upside spillover effects for most countries before crisis onset and for all countries after crisis onset and 3 small positive and negative oil price movements had no impact on any stock return quantiles neither before nor after crisis onset

extreme return connectedness and its determinants between clean green and dirty energy investments abstract previous studies point to the time variation and asymmetry in the relationship between clean energy stocks and crude oil markets but there is a lack of evidence on the return spillovers between clean green assets and dirty energy assets crude oil and energy etf in lower and upper quantiles and their potential drivers to address these gaps we apply quantile based estimators to measure return connectedness at left and right tails of the conditional distribution of return shocks we find that the average level of return connectedness estimated at the mean median is 29 whereas it reaches 65 when estimated at the left and right tails thus return connectedness across clean energy stocks green bonds crude oil and energy etf is larger at both left and right tails implying that the unsuitability of applying mean based connectedness measures furthermore we show that return connectedness measures vary with time but they are less volatile in the tails notably return connectedness differs between periods of extreme negative returns and periods of extreme negative returns suggesting an asymmetric behaviour an analysis of the drivers of the return connectedness shows the importance of macroeconomic conditions especially at middle and lower quantiles us dollar has a positive impact in all cases whereas the crude oil market uncertainty intensifies the return spillovers at the lower quantile

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

empirical measures of inflation uncertainty a cautionary note a direct ex ante measure of inflation uncertainty in the us is compared with a number of proxies used in empirical studies the direct estimate is the root mean subjective variance of the probability distributions for inflation reported by respondents to the asa nber survey the proxies include forecast standard deviations from arima arch and structural models of inflation these proxies are not significantly correlated with the direct measure nor with one another use of the proxies leads to incorrect inferences about the correlation between inflation and inflation uncertainty and between inflation uncertainty and the real interest rate

assessing the importance of oligopsony power in agricultural markets oligopoly competition among few sellers is the cornerstone of industrial organization io conversely its sister concept oligopsony competition among few buyers is scarcely mentioned for example oligopsony is not discussed in the entire two volume handbook of industrial organization and monopsony is mentioned only in the context of incentives to integrate vertically two reasons apparently account for io economists lack of interest in buyer market power i they don t think it s very important and ii they don t believe it presents any unique modeling issues relative to seller market power scherer and ross illustrate this first viewpoint arguing that average concentration on the buyers side in manufacturing is undoubtedly lower than seller concentration p 519 tirole in his masterful treatise on io theory illustrates the second dispatching monopsony power in one sentence naturally the conclusions regarding monopoly power would also hold as well for monopsony power p 65 we argue that this dismissive treatment of buyer market power is not reasonable for economists interested in agriculture and agricultural markets the scherer and ross viewpoint may apply when considering generic inputs such as labor capital and energy competition for these inputs is apt to exceed competition for the outputs they produce because firms cross product market boundaries to compete for these inputs and there is essentially no branding among input buyers to diminish price competition among them moreover these inputs are typically mobile hence in elastic supply to individual buyers limiting the exercise of oligopsony power even in geographic settings where relatively few buyers prevail this view of input markets does not apply however to first handler markets for the raw agricultural commodities that are inputs into the processed or fresh packed food products we identify the following distinctive structural characteristics of these markets

predictability in financial markets what do survey expectations tell us abstract there is widespread evidence of excess return predictability in financial markets for the foreign exchange market a number of studies have documented that the predictability of excess returns is closely related to the predictability of expectational errors of excess returns in this paper we investigate the link between the predictability of excess returns and expectational errors in a much broader set of financial markets using data on survey expectations of market participants in the stock market the foreign exchange market the bond market and money markets in various countries the results are striking first in markets where there is significant excess return predictability expectational errors of excess returns are predictable as well with the same sign and often even with similar magnitude this is the case for foreign exchange stock and bond markets second in the only market where excess returns are generally not predictable the money market expectational errors are not predictable either these findings suggest that an explanation for the predictability of excess returns must be closely linked to an explanation for the predictability of expectational errors

nonparametric tests of market structure an application to the cigarette industry the revealed preference approach is used to construct a nonparametric test of the monopoly model and some simple generalizations of it and the test is applied to data for the cigarette industry it exploits the maintained hypothesis that variations in the excise tax charged on a package of cigarettes allow us to assess seller reactions to common exogenous variations in marginal cost results indicate that the monopoly hypothesis and other simple models that do not embody at least a moderate amount of competition serve as poor predictors of the effects of excise tax changes on cigarette prices sales and revenues copyright 1987 by blackwell publishing ltd

inflation forecast errors and time variation in term premia the expectations theory of the term strueture is well known to give wrong signals as to the future course of long term interest rates one explanation involves rational time varying term premia however the anomaly may also be due to inflation forecast errors we study survey forecasts of inflation it seems that the respondents forecasts are insufficiently adaptive interest rates reflect expectations similar to the inflation forecasts as a result past survey forecast errors reliably predict premia on u s government bonds

regional and copula estimation effects on eu and us energy equity portfolios the aim of this paper is to investigate the regional interdependence structure of energy equities in the us and in the eu based on weekly stock prices of 28 big energy firms in the two regions fro

the relationship between the level and variability of inflation theory and evidence summary this paper emphasizes the role played by asymmetric stabilization policies in producing the widely reported positive association between the level and variability of inflation a simple theoretical model is constructed which shows how asymmetric policies give rise to this association the empirical findings presented provide support to the proposition that variations in inflation uncertainty are policy induced

testing hypotheses about firm behavior in the cigarette industry data on the effects of excise taxes are used to investigate the level of competition in the cigarette industry a lower bound on the numbers equivalent of firms in the context of the conjectural variations model is derived and estimated results point to at least a moderately high level of competition and in particular allow for the rejection of the perfect cartel model this paper relies on comparative statics results and hence circumvents recent criticisms of a study of monopoly behavior in the cigarette industry

distinguishing the source of market power structural models used to measure market power though widely employed continue to be criticized we compare alternative market power tests including nonparametric and solow residual based srb tests we develop srb methods that permit nested testing for both monopolistic and monopsonistic market power by the same firm these tests and a set of nonparametric tests are implemented to examine market power exertion by u s cigarette manufacturers from 1977 to 1993 all tests indicate that cigarette manufacturers exerted monopsonistic power in the upstream tobacco market they are mixed on whether monopolistic power exertion was exerted in the downstream market

connectedness network and dependence structure mechanism in green investments abstract we present an empirical study of renewable energy stock returns and their relation to four major investment asset classes stocks currency us treasury bonds and oil and several sources of uncertainty applying nonlinear causality and connectedness network analysis on data covering the period 2004 2016 we investigate the directionality and connectedness among different asset classes as well as between uncertainties first from the results of the estimation of directionality and network spillovers it can be concluded that the european stock market has a strong market dependence on renewable energy stock prices second uncertainties have an economically significant impact on both return and volatility spillover in energy investments third most of the uncertainties are net transmitters of volatility connectedness during the global financial crisis gfc and european sovereign debt crisis esdc

measurement of monopoly behavior an application to the cigarette industry a simple scheme is proposed to measure monopoly pricing behavior the coefficient of the tax rate term in a price equation identifies the ratio of price to marginal cost no direct measurement of costs is required so a major problem for other empirical studies of monopoly is avoided empirical results for cross section time series data support rejection of atomistic competition but also provide evidence against the operation of an effective cartel in the cigarette industry the model represents an alternative interpretation of related results in a recent paper by barzel application of the methodology to other markets is feasible

the relationship between relative prices and the general price level it is very nearly a truismi amaong neoclassical economists that the public is wont to confuse changes in the general price level with relative price changes correspondingl y one might speak of the independence between the two as one of the central postulates of the neoclassical tradition william stanley jevons was aml ong the first to identify this basic dichotomin economic life as well as to attempt to explain the ordinary citizen s seenming incapacity to understand it

nonparametric tests for monopsonistic market power exertion measurement of market power exerted in imperfectly competitive markets has received considerable attention in recent years this literature has become known as the new empirical industrial organization neio bresnahan 1989 provides an extensive review of these studies most often empirical work relies on estimating monopoly market power exertion from first order profit maximization conditions using aggregate industry data estimates of market power exertion depend on the functional forms selected for aggregate supply and demand importantly econometric identification of the market power parameter estimated from the first order conditions depends critically on second order curvature properties of the functions selected bresnahan 1982 lau little is known about the effects of model misspecification on estimated market power parameters while most of the neio market power literature focuses on monopoly power it is likely that firms with potential market power in agricultural and natural resource markets more of

renewable energy oil prices and economic activity a granger causality in quantiles analysis this paper analyzes the causal relationship between renewable energy consumption oil prices and economic activity in the united states from july 1989 to july 2016 considering all quantiles of the distribution although the concept of granger causality is defined for the conditional distribution the majority of papers have tested granger causality using conditional mean regression models in which the causal relations are linear we apply a granger causality in quantiles analysis that evaluates causal relations in each quantile of the distribution under this approach we can discriminate between causality affecting the median and the tails of the conditional distribution we find evidence of bi directional causality between changes in renewable energy consumption and economic growth at the lowest tail of the distribution besides changes in renewable energy consumption lead economic growth at the highest tail of the distribution our results also support the unidirectional causality from fluctuations in oil prices to economic growth at the extreme quantiles of the distribution finally we find evidence of lower tail dependence from changes in oil prices to changes in renewable energy consumption our findings call for government policies aimed at developing renewable energy markets to increase energy efficiency in the u s

herding behaviour in energy stock markets during the global financial crisis sars and ongoing covid 19 abstract environmental change created worldwide interest in investing in renewable energy less reliance on fossil fuels would have a substantial influence on investors for alternative energy especially renewable energy the literature has concentrated on empirical studies of herding behaviour in finance but not in renewable energy this paper fills the gap by investigating herding in renewable energy using daily closing prices in renewable and fossil fuel energy stock returns in the usa europe and asia for march 24 2000 may 29 2020 which covers the global financial crisis gfc 2007 2009 the coronavirus crises of sars 2003 and the ongoing covid 19 2019 2020 pandemic the paper shows that 1 for low extreme oil returns investors are more likely to display herding in the stock market 2 for sars and covid 19 herding is more likely during extremely high oil returns after the gfc and 3 herding is more likely during periods of extremely low oil returns during the coronavirus crises these results suggest that after the gfc investors are more sensitive to asset losses so they will be more likely to display herding in the stock market however during sars and covid 19 investors panic so they may unwisely sell their assets there are strong cross sector herding spillover effects from us fossil fuel energy to renewable energy especially before the gfc while the us fossil fuel energy market has a significant influence on the europe and asia renewable energy returns during covid 19 during sars which was not a pandemic us fossil fuels only had an impact on us renewable energy returns

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

systemic risk spillovers between crude oil and stock index returns of g7 economies conditional value at risk and marginal expected shortfall approaches abstract in this study we examine systemic risk and dependence between oil and stock market indices of g7 economies between january 2003 and november 2017 coincidentally this timeframe covers different distress periods in financial and energy markets we use several time constant time varying and time varying markov copula models to examine the dependence further we use the delta conditional value at risk covar of adrian and brunnermeier 2016 and marginal expected shortfall mes of acharya et al 2012 to captures the risk spillover effects and give evidence of systemic risk from the copula analysis we find dissimilar dependence structure between returns series of oil and the g7 stock markets for france germany and japan the dependence is markov switching time varying while it is time varying for the united states and canada constant for the united kingdom and around zero for italy our empirical evidence on systemic risk indicates that oil price dynamics contributes significantly more to the g7 stock market returns during volatile times than during tranquil times in particular the canada stock market appears more sensitive and vulnerable to negative external shocks emerging from the crude oil market than the other markets further the country risk rankings identified using mes and covar may not be identical in addition the analysis results suggest that the crude oil market can be a good diversifier for investors in japan and france and that the investors in the rest of g7 countries must act more carefully

testing static oligopoly models conduct and cost in the sugar industry 1890 1914 we explore the widespread methodology of using demand information to infer market conduct and unobserved cost components under the hypothesis of static oligopoly behavior direct measures of marginal cost and conduct indicating small market power serve as benchmarks the more competitive models yield better cost estimates the best cost estimates occur when conduct is estimated as a free parameter which in turn only slightly underestimates our direct measure it also tracks the decline in market power accompanying the industry s structural changes the methodology is largely validated although partial cost information can improve its predictive power conclusions are robust to demand function

dependence structure in the australian electricity markets new evidence from regular vine copulae abstract in this study regular vine copula was used to investigate the dependence structure of electricity prices at the state level in the australian national electricity market nem during three periods related to the adoption and abolition of the carbon tax in the pre carbon period we found evidence of tail dependence separately in the northern and southern nem but not across them during the carbon period the joint spike in the northern nem disappeared and the tail dependence in the southern nem decreased in the post carbon period the best dependence structure turned out to be a flexible structure of the regular vine which exactly matches the geographical infrastructure connectedness of transmission wires besides both upper and lower tail dependences were found in all adjacent states after the abolition of the carbon tax suggesting a more integrated market regarding tail dependence our findings have substantial implications for risk management in the nem especially for those participants exposed to multiple states

a note on the linear and annuity class of depreciation methods abstract depreciation methods are used for allocating acquisition costs of long lived assets to individual years that benefit from those assets e g in connection with product pricing and regulation of public utilities the following depreciation methods are sometimes mentioned together in the literature nominal linear real linear nominal annuity and real annuity all are shown to be special cases of one generic formula for that reason they are referred to collectively as the linear and annuity class of depreciation methods the members of this class are ranked to the extent possible by their book values such a ranking indicates the relative depreciation rates of the class members and also relative savings due to tax deductible depreciation two applications of members of the linear and annuity class are discussed to product pricing in classical equilibrium theory and to incentives for undertaking an investment project the essential insight from this note is that it is meaningful to group the members of the linear and annuity class into one well defined class of depreciation methods

an empirical analysis of expected stock price movements the livingston survey of economists forecasts of key economic variables has served as the data source for a number of studies investigating the forrnation and effects of expectations much of this work has utilized the price level predictions from the survey to proxy anticipated inflation l this measure of expected inflation has also been analyzed by several researchers to see if it conforrns to the notion of rational expectations with differing conclusions 2 this paper extends the analysis of the livingston data by examining the forecasts of common stock prices made by the individual survey participants since predicted movements in stock prices may play an important role in portfolio decisions and according to tobin s q model real investment decisions it seems useful to explore the characteristics of these forecasts the paper addresses two main issues first are the stock price predictions in accord with rational expectation forrnation second how are the respondents expectations of stock price movements related to their forecasts of inflation and real

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

can imperfect competition explain the difference between primal and dual productivity measures estimates for u s manufacturing it is well known that under the assumptions of constant returns to scale perfect competition and the absence of factor hoarding primal and dual productivity measures should be highly correlated the apparent lack of correlation is usually attributed to fixed factors of production in this paper i propose an alternative explanation by relaxing the assumption of perfect competition by controlling for the presence of a markup component i demonstrate that both productivity measures are in fact highly correlated for u s manufacturing the analysis also provides an alternative method of estimating a markup of prices over marginal cost that avoids certain difficulties inherent in some existing methods of estimation

market structure and cyclical fluctuations in u s manufacturing the relevance of imperfect competition for models of economic fluctuations has received increased attention from researchers in both macroeconomics and industrial organization the authors outline a new methodology for estimating industry markups of price over marginal cost and the influence of market structure on cyclical movements in total factor productivity measures of industry concentration import competition and unionization are important for explaining markups in some industry groups much of the estimated markup of price over marginal cost is accounted for by noncapital fixed costs finally the authors show that their estimated margins fluctuate substantially over the cycle in particular markups are countercyclical especially in concentrated durable goods industries copyright 1988 by mit press

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

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

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

in pursuit of monopoly power recent quantitative work in industrial economics this paper reviews empirical work in industrial organization devoted to the question of inferring the existence of monopoly power from data on observed market outcomes like profits and prices the discussion covers inter industry work long conventional in the area newer developments in intra industry analysis and case studies and concludes with some remarks on a small but growing body of work assessing market dynamics the wide range of studies reviewed all generally reveal that market power exists in many industries

systemic risk and international portfolio choice returns on international equities are characterized by jumps moreover these jumps tend to occur at the same time across countries leading to systemic risk we capture these stylized facts using a multivariate system ofjump diffusion processes where the arrival of jumps is simultaneous across assets we then determine an investor s optimal portfolio for this model of returns systemic risk has two effects one it reduces the gains from diversification and two it penalizes investors for holding levered positions we find that the loss resulting from diminished diversification is small while that from holding very highly levered positions is large returns on international equities are characterized by jumps 1 moreover these jumps tend to occur at the same time across countries implying that conditional correlations between international equity returns tend to be higher in periods of high market volatility or following large downside moves 2 our objective in

forecasting stock prices do forecasters herd abstract we use the livingston survey data to study whether forecasters of the s p 500 stock price index herd our results imply that forecasters do not herd rather we find that forecasters anti herd anti herding is less prevalent among academics and federal reserve economists forecaster anti herding is inversely correlated with forecast accuracy forecaster anti herding is not correlated with age

the impact of energy prices on clean energy stock prices a multivariate quantile dependence approach abstract we assess the impact of quantile price movements in oil gas coal and electricity on the quantiles of clean energy stock returns using a multivariate vine copula dependence setup for the period 2009 2016 our evidence shows that oil and electricity prices were major contributors to the dynamics of clean energy stock returns in the usa and the eu respectively whereas the other energy prices played a minor role in shaping clean energy stock returns furthermore we find evidence of a symmetric energy price impact so extreme upward and downward energy price movements had a similar impact on clean energy stock returns this evidence has potential implications for risk management decision making by energy investors and for policy maker decisions regarding support for clean energy deployment

market rationality tests based on cross equation restrictions abstract the information used by researchers in cross equation tests of rational expectations may be a small subset of the information available to the market such tests produce consistent estimates but have low power we develop a mechanism for dealing with this problem and use the procedure to perform cross equation tests on predictions from the football betting market the tests fail to reject rationality we provide evidence that market predictions from betting markets are not formed rationally it appears therefore that cross equation tests have low power even if the information sets used by the researcher and the market are approximately the same

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

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

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

green bond and financial markets co movement diversification and price spillover effects abstract we examine co movement between the green bond and financial markets finding that the green bond market couples with corporate and treasury bond markets and weakly co moves with stock and energy commodity markets we also find that green bonds have negligible diversification benefits for investors in corporate and treasury markets whereas diversification benefits are sizeable for investors in stock and energy markets we further confirm that green bonds are affected by substantial price spillovers from corporate and treasury fixed income markets and that large price swings in stock and energy markets have a negligible impact on green bond prices

inflation expectations revisited this paper describes the construction and main features of a new monthly time series for the mean and standard deviation of consumer inflation expectations in the united kingdom in the years 1961 85 based on a number of consumer surveys this involves generalizing to four and five category tendency survey data the method used by j a carlson and m parkin 1975 to quantify the results of a three category tendency survey of inflation expectations the new series exhibit very different time series properties from the original carlson parkin data copyright 1988 by the london school of economics and political science

the relation between price and marginal cost in u s industry an examination of data on output and labor input reveals that some u s industries have marginal cost well below price the conclusion rests on the finding that cyclical variations in labor input are small compared with variations in output in booms firms produce substantially more output and sell it for a price that exceeds the costs of the added inputs the paper documents the disparity between price and marginal cost where marginal cost is estimated from annual variations in cost it considers a variety of explanations of the findings that are consistent with competition but none is found to be completely plausible

systemic risk measurement multivariate garch estimation of covar abstract we modify adrian and brunnermeier s 2011 covar the var of the financial system conditional on an institution being in financial distress we change the definition of financial distress from an institution being exactly at its var to being at most at its var this change allows us to consider more severe distress events to backtest covar and to improve its consistency monotonicity with respect to the dependence parameter we define the systemic risk contribution of an institution as the change from its covar in its benchmark state defined as a one standard deviation event to its covar under financial distress we estimate the systemic risk contributions of four financial industry groups consisting of a large number of institutions for the sample period june 2000 to february 2008 and the 12 months prior to the beginning of the crisis we also investigate the link between institutions contributions to systemic risk and their characteristics

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

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

determining market power exertion between buyers and sellers empirical techniques commonly used in industrial organization to measure market power exertion typically assume imperfectly competitive behaviour by firms on only one side of the market firms on the other side are assumed to be perfectly competitive in this paper we extend traditional neio methods by developing a method to estimate market power exertion when firms on both sides have potential market power using monte carlo simulations we find that the model correctly estimates market power exercised by firms on either or both sides of a market and also correctly estimates firms technology parameters when applied to the us leaf tobacco market findings indicate that cigarette manufacturers exert some monopsony power in purchasing leaf tobacco while producers organized as a cartel exhibit no countervailing monopoly market power copyright 2000 john wiley sons ltd

an integrated view of tests of rationality market efficiency and the short run neutrality of monetary policy abstract this paper analyzes an important class of models in which expectations play an important role topics included in the analysis are tests of 1 rationality of forecasts in either market or survey data 2 capital market efficiency 3 the short run neutrality of monetary policy and 4 granger causality in macroeconometric models the common elements of these tests are highlighted in particular cross equation tests for rationality or the short run neutrality of money are shown to be equivalent to more common regression tests in the literature these results demonstrate that the exact specification of the relevant information set used in rational forecasts is not necessary for the cross equation tests to have desirable asymptotic properties also discussed are the conditions for identification of coefficients and testability of hypotheses

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

how well do economists forecast stock market prices a study of the livingston surveys the desire to forecast stock prices appears to be eternal alfred cowles 1933 was one of the first researchers to evaluate statistically how well professional forecasters predict stock prices in this tradition our paper will explore the statistical properties of the livingston stock market forecasts a number of recent studies including those by josef lakonishok 1980 bryan brown and shlomo maital 1981 and douglas pearce 1984 finds that the livingston stock market forecasts are statistically biased and or do not utilize all available information i e are informationally inefficient in contrast to earlier studies we find using 61 semiannual livingston surveys from june 1955 through june 1985 that stock market forecasts are statistically unbiased and minimum error variance estimators in section i we show that earlier studies are likely to mask the true relationships between stock market forecasts and realized rates of return because of inappropriate computational algorithms in section ii we present our statistical results based upon the corrected data algorithm we provide a brief summary of the paper in the last section 1 computing livingston stock market rate of return forecasts

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

the impact of twitter sentiment on renewable energy stocks abstract we study the impact of twitter sentiment and sentiment divergence on returns volatility and trading volumes for renewable energy stocks based on daily time series for twitter sentiment and twitter sentiment divergence we estimate var models and evaluate spillovers between sentiment and renewable energy stock pricing and trading we find that whereas twitter sentiment has no sizeable impact on returns volatility or trading volumes twitter sentiment divergence generates feedback effects on volatility and trading volumes our evidence would indicate that the wisdom of the twitter crowd is not substantial in shaping prices and trading for renewable energy companies

more flexible use of survey data on expectations in macroeconomic models a flexible procedure is proposed whereby both the random and systematic errors in measurement of survey data on inflation expectations can be appropriately handled when these surveys are used in the estimation of macroeconomic models during the period 1952 1980 livingston s two expectations series and the src series systematically underestimated inflation expectations by nearly 25 the asa nber survey however does not exhibit such underestimation thus the use of the livingston or src data as an unbiased measure of the true expectations of inflation would result in overestimation of the fisher effect and the ex ante real interest rate

dispersed communication by central bank committees and the predictability of monetary policy decisions the paper asks whether members of central bank decision making committees should communicate with the public in a collegial manner by conveying the consensus or majority view of the committee or in an individualistic way by providing the diversity of views among the committee members it finds that more active as well as more consistent communication by committee members improves the predictability of monetary policy decisions significantly this effect is sizeable as communication dispersion across committee members accounts on average for one third to one half of the market s prediction errors of fomc policy decisions moreover more active and more consistent communication are found to also reduce the degree of uncertainty about the future path of interest rates these findings suggest that a collegial communication which stresses the consensus view on policy inclinations can enhance the effectiveness of central bank communication

an examination of the relationship between australian industry equity returns and expected inflation this paper analyses the relationship between inflation and equity returns in australia over the period january 1974 to march 1996 analysis is based on monthly and quarterly data using value weighted equity indices at both the aggregate market and industry level three price indices the consumer price index cpi quarterly and the manufactured materials used index mmu and the manufacturing articles produced index map both monthly and quarterly are used to measure inflation results provide little evidence of the statistically significant negative relationship observed in the us for the full study period analysis is also conducted on three subperiods monetary targeting july 1976 january 1985 checklist approach february 1985 december 1989 and anti inflation january 1990 march 1996 at the market level the anti inflation subperiod does provide some evidence of a negative relationship between inflation and equity returns though statistical significance is not apparent with quarterly tim

on the rationality of us macroeconomic forecasts evidence from a panel of professional forecasters asa nber survey data is used to check the rationality of us macroeconomic forecasts it is found that of 75 forecast series examined 51 are biased 25 are both unbiased and efficient and only two pass the null hypothesis of orthogonality this calls into question the validity of rational expectations hypothesis

indexation and the effect of inflation uncertainty on real gnp this article examines the combined effects of inflation uncertainty and indexation on the growth rate of real gross national product gn p the evidence suggests that greater indexation partially reduces t he adverse effect of inflation uncertainty on real gnp growth over time it also indicates that in contrast to earlier findings regarding th e effect of inflation uncertainty on employment the overall effect of inflation uncertainty on real gnp growth may be permanent a preliminary assessment of whether the discrepancy is the result of in flation uncertainty permanently affecting the growth rate of the capi tal stock is inconclusive copyright 1988 by the university of chicago

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

wage indexation openness and inflation uncertainty the case of italy this article uses annual data of the italian economy to test the validity of the hypotheses of friedman 1977 and aizenman 1985 that the level of inflation uncertainty and the degree of openness of an economy have positive effects on the level of wage indexation it was found that the estimated wage indexation equation supports the validity of the aizenman hypothesis that the degree of openness of an economy has positive effects on the level of wage indexation on the other hand the regression of the wage indexation equation does not generally support the validity of the friedman hypothesis that the level of inflation uncertainty has positive effects on the level of wage indexation

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

how do crude oil prices co move a copula approach abstract this paper examines the dependence structure between crude oil benchmark prices using copulas by considering several copula models with different conditional dependence structures and time varying dependence parameters we find evidence of significant symmetric upper and lower tail dependence between crude oil prices these findings suggest that crude oil prices are linked with the same intensity during bull and bear markets thus supporting the hypothesis that the oil market is one great pool in contrast with the hypothesis that states that the oil market is regionalized our findings on crude oil price co movements also have implications for risk management hedging strategies and asset pricing

stock market returns and inflation forecasts this study uses data from the livingston survey of expectations to examine the fisher hypothesis as a model relating expected stock returns and expected inflation we show that the fisher hypothesis holds much better for ex ante expectations than ex post realizations recent studies such as those by nelson 15 jaffe and mandelker 10 bodie 1 fama and schwert 3 and others have shown that the relation between stock returns and inflation is negative in the u s and have concluded that the fisher hypothesis does not hold in the stock market gultekin 9 has expanded the above studies for a large sample of countries besides the u s his time series results for the whole sample also are not consistent with the fisher hypothesis all of these studies use ex post realizations of stock returns and with some exceptions ex post inflation rates in order to test the fisher effect in contrast to earlier research this study uses data from the livingston survey of expectations to test the fisher effect in its pure form as a model relating expected stock returns to expected inflation our findings are remarkably different from those of previous studies which use ex post data expectations data from the livingston surveys show a positive one to one relation between expected stock returns and expected inflation we also find that the expected real return on stocks is not constant over time but is positively related to expected inflation which is contrary to the relation suggested by mundell 14 the next section provides some theoretical considerations and a brief summary of results from earlier research the third section describes the livingston data and presents the empirical results some estimates of the expected real rate return on stocks

renewable energy and politics a systematic review and new evidence abstract this paper reviews the literature in the intersection of renewable energies and politics adopting a multidisciplinary social sciences perspective we begin by analyzing the recent literature dealing with renewable energies and politics illustrating the analysis with bibliometric data the search protocol revealed 853 contributions dated from 1998 then we focus on the 186 contributions approached from a social sciences perspective establishing a taxonomy to classify the contributions into the main issues covered we identify contributions dealing with governance with public acceptance with markets and prices and with political or policy determinants of renewable energies in an empirical application we show that more democratic countries tend to invest more in renewable energies taking into account other determinants e g income energy dependence pollution emissions of this investment

inflation uncertainty inflationary shocks and the credibility of counterinflation policy abstract this paper assesses the contributions of price shocks general price variability and the credibility of counterinflation policy to changes in inflation uncertainty in the u k uncertainty is measured by the root mean square error of consumer inflation forecasts in contrast to the assumptions of much theory uncertainty is not significantly affected by noise in individual or aggregate inflation rates factors which determine policy credibility are more important the political party in government the proximity of elections and under fixed exchange rates the rate of inflation itself however government initiatives to increase credibility through incomes policies and monetary targets have failed to reduce uncertainty

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

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

what do economists know an empirical study of experts expectations for more than three decades economic columnist joseph a livingston has canvassed a panel of economists twice a year eliciting their six month and twelve month forecasts for more than a dozen key variables this study analyzes whether the experts predictions are unbiased and whether complete use was made of all relevant known information unbiasedness and completeness being necessary conditions for fully rational expectations little bias was found in either the half year or full year predictions but extensive underutilization of information particularly data on monetary growth occurred to prophecy is extremely difficult especially with respect to the future chinese proverb do economists expectations regarding key price and nonprice variables utilize all known relevant information in an unbiased efficient manner this is a worthy subject for research for several reasons properties of experts predictions likely form an upper bound for those of laymen further as john muth 14 has noted the character of dynamic processes is typically very sensitive to the way expectations are influenced by the actual course of events p 316 hence we need to know precisely how events do affect expectations finally the common practice of replacing a variable s generally unobserved expectation with a proxy based on its past values will be unbiased and will not cause bias in other

co movements and spillovers of oil and renewable firms under extreme conditions new evidence from negative wti prices during covid 19 we test for the existence of volatility spillovers and co movements among energy focused corporations during the outbreak of the covid 19 pandemic inclusive of the april 2020 events where west texas intermediate wti oil future prices became negative employing the spillover index approach of diebold and yilmaz 2012 as well as developing a dcc figarch conditional correlation framework and using estimated spillover indices built on a generalised vector autoregressive framework in which forecast error variance decompositions are invariant to the variable ordering we examine the sectoral transmission mechanisms of volatility shocks and contagion throughout the energy sector among several results we find positive and economically meaningful spillovers from falling oil prices to both renewable energy and coal markets however this result is only found for the narrow portion of our sample surrounding the negative wti event we interpret our results being directly attributed to a sharp drop in global oil gas and coal demand rather than because of a sudden increase in oil supply while investors observed the us fracking industry losing market share to coal they also viewed renewables as more reliable mechanism to generate long term stable and low cost supply

the choice of exchange rate regime and speculative attacks we develop a framework for studying the choice of exchange rate regime in an open economy where the local currency is vulnerable to speculative attacks the optimal regime is determined by a policymaker who trades off the loss from nominal exchange rate uncertainty against the cost of maintaining a given regime this cost is affected in turn by the likelihood of a speculative attack searching for the optimal regime within the class of exchange rate bands we show that the optimal regime is either a peg a zero width band a free float an infinite width band or a non degenerate finite width band the paper shows that lower costs of moving across currencies induce policymakers to set more flexible exchange rate systems this lowers ceteris paribus the likelihood of financial crises one implication is that a tobin tax does not necessarily reduce the likelihood of currency crises the paper also investigates the effects of country size openess variability in fundamentals and reputation on the choice of exchange rate regime the role of abrupt changes in reputation in triggerering crises even with unchanged fundamentals as an alternative to sunspots is discussed and illustrated

to aggregate pool or neither it is well known that even if all forecasters are rational unbiasedness tests using consensus forecasts are inconsistent because forecasters have private information however if all forecasters face a common realization pooled estimators are also inconsistent in contrast we show that when predictions and realizations are integrated and cointegrated microhomogeneity ensures that consensus and pooled estimators are consistent therefore contrary to claims in the literature in the absence of microhomogeneity pooling is not a solution to the aggregation problem we reject microhomogeneity for a number of forecasts from the survey of professional forecasters therefore for these variables unbiasedness can only be tested at the individual level

do the oecd 24 month horizon growth forecasts for the g7 countries contain information the oecd produces two year ahead growth forecasts for the g7 countries since 1987 these forecasts have never been evaluated a regression is developed that tests for the information content of the forecasts the idea is that this content is the added value forecasters incorporate in their forecasts the information content is defined relative to the forecast for the previous year in the end the added value contained in the current year forecast is calculated relative to the last observation the test consists in checking whether the information content reduces the forecasts error 1 the authors of the present study refer to mincer and zarnowitz 1969 mcnees 1988 stekler 1991 and fildes and stekler 2002 for a discussion of the evaluation techniques of forecasts the study begins with a calculation of the usual accuracy statistics these indicate an extreme low quality for the forecasts the regression tests support this conclusion although the forecasts for japan do possess some information al