cycles in politics wavelet analysis of political time series spectral analysis and arma models have been the most common weapons of choice for the detection of cycles in political time series controversies about cycles however tend to revolve around an issue that both techniques are badly equipped to address the possibility of irregular cycles without fixed periodicity throughout the entire time series this has led to two main consequences on the one hand proponents of cyclical theories have often dismissed established statistical techniques on the other hand proponents of established techniques have dismissed the possibility of cycles without fixed periodicity wavelets allow the detection of transient and coexisting cycles and structural breaks in periodicity in this article we present the tools of wavelet analysis and apply them to the study of two lingering puzzles in the political science literature the existence of cycles in election returns in the united states and in the severity of major power wars

valuing option existence and bequest demands for wilderness to assess the relative importance of current costs and future benefits of nuclear waste storage we develop a simple model of bequest value the basic model of nonparternalistic altruism is extended to account for the uncertain nature of the externality

altruism and the demand for environmental quality this paper asks whether individuals consider the value that future generations will receive from environmental quality when deciding what level of environmental protection to provide using data on life expectancy i develop two tests for altruism towards future generations one a test for strong altruism asks whether individual motives are purely altruistic when deciding to provide environmental quality the second a test for weak altruism combines an individual s concern for both self interest and the interest of future generations using data from a washington post survey on environmental attitudes to implement the test i find evidence of weak altruism

what explains long memory in futures price volatility long memory in futures price volatility is a well documented stylized fact with implications for market efficiency risk management forecasting and option pricing bias the implications of long memory differ however based on whether it is of a fractional or of a stochastic type the aims of this article are to determine in the case of agricultural commodity futures data which type better describes price volatility and also to evaluate several competing explanations for findings of long memory the evidence presented here finds little support for three out of four potential explanations namely excessive noise in the volatility measure bias in the long memory estimator and understated ses of the long memory parameter for the data considered price volatility appears to be most likely generated by a nonfractional long memory process such as a stochastic break or stochastic unit root

capture and ideology in the economic theory of politics the economic theory of regulation long ago put public interest theories of politics to rest these theories have correctly been viewed as normative wishings rather than explanations of real world phenomena they have been replaced by models of political behavior that are consistent with the rest of microeconomics anthony downs 1957 james buchanan and gordon tullock 1965 george stigler 1971 sam peltzman 1976 recently however debate has arisen over whether some version of a public interest theory of regulation will have to be readmitted to our thinking about actions and results in the political arena what is at issue is the empirical importance of the altruistic publicly interested goals of rational actors in determining legislative and regulatory outcomes james kau and paul rubin 1979 kalt 1981 peltzman 1982 this study assesses the nature and significance of publicly interested objectives in a particular instance of economic policymaking u s senate voting on coal strip mining regulations the existence of such objectives is of course no contradiction of the economic view of human behavior kenneth arrow 1972 gary becker 1974 and may well be rooted in genetic biological history becker 1976 jack hirshleifer 1978 generally however individuals altruistic publicly interested goals have been given little attention this reflects the judgment that such goals are so empirically unimportant as to allow the use of occam s razor in positive models or well founded apprehensions that these goals are unusually difficult to identify measure and analyze notwithstanding the latter problem we find that approaches which confine themselves to a view of political actors as narrowly egocentric maximizers explain and predict legislative outcomes poorly the tracking and dissecting of the determinants of voting on coal strip mining policy suggest that the economic theory of politics has been prematurely closed to a broader conception of political behavior

multiple benchmark and multiple portfolio optimization numerous real life portfolio optimization problems require consideration of more than one benchmark and or more than one portfolio these problems are formulated in a way that seems to be more complicated than the standard problem of mean tracking error variance optimization in fact however these diverse problems can be reduced to the standard case and solved with the same algorithm this article provides solutions to the dual benchmark problem the portfolio partition problem and the completion portfolio problem such solutions and applications are important to both portfolio managers and plan sponsors

on the dynamic dependence between equity markets commodity futures and economic uncertainty indexes this paper provides a thorough analysis on multiscale dependence schemes between equity markets commodity futures and uncertainty indexes based on decomposed return series we provide an exhausti

portfolio selection based on return risk and relative performance markowitz introduced the concept of portfolio selection based on return and variance recognition that many investors evaluate performance relative to a benchmark led to the idea of portfolio selection based on return and relative risk for many investors both approaches fail to yield satisfactory results although they acknowledge the importance of benchmarks in the decision process they are not indifferent to the variance of absolute returns in this situation a utility function that measures return variance and tracking error is more appropriate analysis of this utility function shows that its set of efficient portfolios includes the mean variance efficient set the mean tracking error efficient set and all convex combinations of these two sets optimization with this utility function may find solutions that investors will actually use

the indian inflation growth relationship revisited robust evidence from time frequency analysis abstractthis article re visits the inflation growth nexus in india using the tools of wavelet i e wavelet correlation wavelet cross correlation and scale by scale granger causality test wavelet

business cycle models with endogenous technology this paper compares real and monetary business cycle models with and without endogenous technical change if technology is endogenous the properties of these models change significantly in particular both real and monetary models yield very similar output processes if growth is endogenous and changes in aggregate demand can result in permanent changes in productivity employment and output the effect of depreciation of technology is examined and the pattern of real wage movements over the cycle when money wages are fixed but technology is changing is briefly considered copyright 1990 by american economic association

an evolutionary heuristic for the index tracking problem abstract index tracking is a popular form of passive fund management the index tracking problem is the problem of reproducing the performance of a stock market index but without purchasing all of the stocks that make up the index our formulation of the problem explicitly includes transaction costs associated with buying or selling stocks and a limit on the total transaction cost that can be incurred our formulation also includes a constraint limiting the number of stocks that can be purchased an evolutionary heuristic population heuristic is presented for the solution of the index tracking problem reduction tests are also presented computational results are presented for five data sets drawn from major world markets these data sets are made publicly available for use by other workers

analysis of the intraday effects of economic releases on the currency market abstract using four years of second by second executed trade data we study the intraday effects of a representative group of scheduled economic releases on three exchange rates eur usd jpy usd and gbp usd using wavelets to analyze volatility behavior we empirically show that intraday volatility clusters increase as we approach the time of the releases and decay exponentially after the releases moreover we compare our results with the results of a poll that we conducted of economists and traders finally we propose a wavelet volatility estimator which is not only more efficient than a range estimator that is commonly used in empirical studies but also captures the market dynamics as accurately as a range estimator our approach has practical value in high frequency algorithmic trading as well as electronic market making

spectral and persistence properties of cyclical growth abstract this article investigates the cyclical properties of an endogenous growth model an explicit solution is derived which permits the full characterization of the cyclical as well as the long run properties of the model using spectral autocorrelation and impulse response functions we show that introducing endogenous growth overcomes some of the main shortcomings of rbc models in particular the model can generate positive autocorrelation of output growth when endogenous growth dominates the dynamics moreover the model exhibits the hump shaped pattern of impulse response functions of the trend reverting component of output

the value of private versus public risk and pure altruism an experimental economics test in 1996 johannesson et al published a paper entitled the value of private safety versus the value of public safety based on the preliminary evidence from a hypothetical contingent valuation study for public and private safety these authors argue that consumers behave as pure altruists who consider the cost of a program that might be imposed on other voters when they determine their maximum willingness to pay for public safety programs the authors conclude that further empirical research in this area is warranted this article presents a set of laboratory economics experiments to test johannesson et al s conjecture under controlled conditions in which participants face an actual risk of financial loss the laboratory results extend those of johannesson et al s providing strong evidence of pure altruism in coercive settings involving public risks

improving daily value at risk forecasts the relevance of short run volatility for regulatory quality assessment abstract in this paper we present a novel perspective on data filtering and present an innovative wavelet based approach that leads to improved value at risk var forecasts a separation of financial conditional volatility into short mid and long run components allows us to study the relevance of these frequency components with respect to a regulatory quality assessment for daily var forecasts a simulation study and an analysis of daily market prices suggest that short and mid run information components cover the relevant information that is necessary for estimating adequate daily var excluding long run information components reduces daily var forecasts by up to 4 and does not impact the quality of regulatory back testing

trend and cyclical decoupling new estimates based on spectral causality tests and wavelet correlations the issue of decoupling of emerging market economies emes especially in the asian region from the developments in advanced economies has become a subject of lively debate in recent years basically decoupling seems to comprise three sub hypotheses i growth spillovers from advanced countries to emes decreasing progressively in importance ii business cycles in emes becoming less synchronized with those of the advanced world and iii strengthening of growth spillovers and cyclical synchronization among the emes as a group the received literature fails to distinguish adequately between the trend and cyclical aspects of the decoupling relationship we resort to two frequency domain methods nonstationary spectral causality testing and wavelet correlations which seem to offer a neat separation of trend and cyclical decoupling based on a sample of seven emes from the asian region including the two large emes china and india we uncover strong evidence favouring both trend and cyclical decoupling

performance replication of the spot energy index with optimal equity portfolio selection evidence from the uk us and brazilian markets abstract this paper reproduces the performance of a geometric average spot energy index by investing only in a subset of stocks from the dow jones composite average the ftse 100 and bovespa composite indexes and in two pools that include only energy sector stocks from the us and the uk respectively daily data are used and the index tracking problem for passive investment is addressed with two evolutionary algorithms the differential evolution algorithm and the genetic algorithm the performance of the suggested investment strategy is tested under three different scenarios buy and hold quarterly and monthly rebalancing accounting for transaction costs where necessary

index tracking model downside risk and non parametric kernel estimation abstract in this paper we propose an index tracking model with the conditional value at risk cvar constraint based on a non parametric kernel npk estimation framework in theory we demonstrate that the index tracking model with the cvar constraint is a convex optimization problem we then derive npk estimators for tracking errors and cvar and thereby construct the npk index tracking model monte carlo simulations show that the npk method outperforms the linear programming lp method in terms of estimation accuracy in addition the npk method can enhance computational efficiency when the sample size is large empirical tests show that the npk method can effectively control downside risk and obtain higher excess returns in both bearish and bullish market environments

co2 emissions and economic activity short and long run economic determinants of scale energy intensity and carbon intensity we analyze the short term and the long term determinants of energy intensity carbon intensity and scale effects for eight developed economies and two emerging economies from 1973 to 2007 our results show that there is a difference between the short term and the long term results and that climate policy are more likely to affect emission over the long term than over the short term climate policies should therefore be aimed at a time horizon of at least 8 years and year on year changes in emissions contains little information about the trend path of emissions in the long run capital accumulation is the main driver of emissions productivity growth reduces the energy intensity while the real oil price reduces both the energy intensity and the carbon intensity the real oil price effect suggests that a global carbon tax is an important policy tool to reduce emissions but our results also suggest that a carbon tax is likely to be insufficient decouple emission from economic growth such a decoupling is likely to require a structural transformation of the economy the key policy challenge is thus to build new economic structures where investments in green technologies are more profitable

does economic policy uncertainty in the u s influence stock markets in china and india time frequency evidence this paper uses continuous and discrete wavelet tools to evaluate the dynamic correlation and causality between the u s economic policy uncertainty epu and stock markets in china and india from

a guide to wavelets for economists abstract wavelet analysis although used extensively in disciplines such as signal processing engineering medical sciences physics and astronomy has not fully entered the economics discipline yet in this survey article wavelet analysis is introduced in an intuitive manner and the existing economics and finance literature that utilizes wavelets is surveyed and explored extensive examples of exploratory wavelet analysis are given most using canadian us and finnish industrial production data finally potential and possible future applications for wavelet analysis in economics are discussed

the time varying characteristics of the chinese financial cycle and impact from the united states abstractalthough there have been many empirical studies about the financial cycle since the financial crisis of 2008 few have analysed the structural changes in the chinese financial cycle over ti

money and output new evidence based on wavelet coherence abstract we reassess the relationship between money and output using quarterly data from the us economy we use several tools based on wavelets the wavelet power transform and the wavelet coherence with which we analyze this relationship in both time and frequency we find evidence of a weaker relationship within the great moderation as well as a stronger relationship during the great recession

self interest altruism and health risk reduction an economic analysis of voting behavior while classical economic theory suggests that the demand for private goods is motivated by economic self interest a growing body of literature suggests that the demand for public goods is driven both by self interest and by altruistic motives the political arena has been a major testing ground for this hypothesis recently a number of studies have tried to empirically isolate and determine the importance of economic versus ideological factors in explaining political choices by representatives kau and rubin 1979 peltzman 1984 kalt and zupan 1984 while congressional voting records have provided a rich source of data for empirical analysis a consensus opinion on the importance of self interest versus altruism has not been reached and remains controversial altruistic motivations have also been

macrofinancial imbalances in historical perspective a global crisis index abstract global crisis episodes are rare events that can be properly studied by adopting the long run view of macroeconomic history in this study we explore the strength of the relationship between current account imbalances credit growth and equity returns at global level and document new evidence of a recurring sequencing pattern ahead of global crisis periods where credit booms are preceded by growing external imbalances and crisis episodes occur at the low end of the contraction phase of equity returns we use this information to construct a single aggregate measure with the aim of signaling periods of increasing risk of macroeconomic and financial instability at global level three major crisis episodes are identified with our global crisis index the 1929 crisis the breakdown of the bretton woods system and the recent financial crisis since past global crisis episodes at international level culminated with the collapse of existing international monetary systems the ongoing debate on the reforms needed to enhance the stability of international financial markets indicates the recent global financial crisis as a major turning point in the evolution of the international financial and monetary system

withdrawn a wavelet analysis of oil prices and stock market evidence from pakistan and india available online 4 september 2013 this article has been withdrawn at the request of the author s and or editor the publisher apologizes for any inconvenience this may cause the full elsevier policy on article withdrawal can be found at http www elsevier com locate withdrawalpolicy

bayesian asset allocation and u s domestic bias u s investors hold much less international stock than is optimal according to mean variance portfolio theory applied to historical data we investigated whether this home bias can be explained by bayesian approaches to international asset allocation in comparison with mean variance analysis bayesian approaches use different techniques for obtaining the set of expected returns by shrinking the sample means toward a reference point that is inferred from economic theory applying the bayesian approaches to the field of international diversification we found that a substantial home bias can be explained when a u s investor has a strong belief in the global mean variance efficiency of the u s market portfolio and in this article we show how to quantify the strength of this belief we also found that one of the bayesian approaches leads to the same implications for asset allocation as the mean variance tracking error criterion in both cases the optimal portfolio is a combination of the u s market por

measuring the existence value of wildlife what do cvm estimates really show two research programs are brought together to contribute to the growing body of work on alternatives to standard welfare based approaches to environmental valuation and policy the first is the theoretical literature undermining the new welfare