political and legal restraints on ownership and control of public companies abstract law and politics affect the financial structure of the public corporation perhaps as much as economics law restricts financial institutions from holding large equity blocks and from networking the small blocks they do own impetus for these restrictions came from several sources a public spirited belief that financial stability would be fostered by financial fragmentation american federalism each state created its own insular set of financial institutions rivalries between groups of financial institutions and popular mistrust of powerful private financial institutions the stability of many of these rules also derives from the political resistance that one would expect corporate managers and benefited financial institutions to offer to any change

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

unexpected tails in risk measurement some international evidence risk management critically depends on the assumptions made about the distribution of stock returns this paper applies extreme value methods to investigate the limiting distribution of the extreme returns of the nikkei225 ftse100 and s p500 indices as well as the indices of some of largest sectors in japan uk and us the results indicate that the much celebrated generalised extreme value distribution does not provide the most accurate description of the minima since the generalised logistic distribution performs better due to its ability to better capture the fat tails of returns the time varying nature of extremes is also confirmed while a simulation exercise adds to the robustness of our results it is also shown that the findings may have important implications for risk models such as var and expected shortfall since risk measures which cannot capture the fatness of tails of the empirical distribution function of returns may lead to serious underestimation of downside risk

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

much ado about ideas the cognitive factor in economic policy this article examines recent works that investigate how ideas acquire influence over economic policy choice the revival of interest in the material power of ideas stems from discontent with the inability of rational interest based models to explain particular policy outcomes except by resorting to auxiliary assumptions the works under review primarily apply ideas approaches as supplementary analytical devices to clarify the dynamics of policy choices these studies succeed in illuminating the interpenetration of interests and ideas in order to plumb the problematic variability of interest formation and the degree of public influence over economic policy parameters the bolder thesis that ideas have a force of their own independent of all interests is however misconceived and unproved

the institutional roots of american trade policy politics coalitions and international trade the 1934 reciprocal trade agreements act rtaa changed the structure of the making of u s trade policy and made possible a dramatic reduction in tariffs the authors demonstrate that the key institutional innovation in the rtaa was its mandate to lower tariffs through reciprocal agreements with foreign nations the expansion of exports under the rtaa enhanced political support for increasingly lower u s tariffs evidence that export interests were positively associated with congressional votes for free trade supports this view

selection and influence interest groups and congressional voting on trade policy studies of the effects of interest groups on congressional roll call voting typically view party and ideology as competing factors and rely on a factoral model of interests or a sectoral model including only interest groups with a direct stake in the vote we depart from that strategy in several ways we define interest groups at the level of standard industrial classification two digit codes and observe the universe of interests for 1979 90 we use measures of geographically and nongeographically based economic interests to estimate the representative s party and ideology we also consider the factor endowments of individuals within a district to examine their impact on floor votes we then investigate the influence of these interests on members party affiliation and ideology as well as a pool of five floor votes on foreign trade using instrumental variables for party and ideology economic interests account for a substantial portion of the variance in all cases and models that also include other explanatory variables are highly accurate in estimating floor votes

conditional heteroscedasticity in time series of stock returns evidence and forecasts this article presents new evidence about the time series behavior of stock prices daily return series exhibit significant levels of second order dependence and they cannot be modeled as linear white noise processes a reasonable return generating process is empirically shown to be a first order autoregressive process with conditionally heteroskedastic innovations in particular generalized autoregressive conditional heteroskedastic garch 1 1 processes fit to data very satisfactorily various out of sample forecasts of monthly return variances are generated and compared statistically forecasts based on the garch model are found to be superior copyright 1989 by the university of chicago

an evaluation of volatility forecasting techniques the existing literature contains conflicting evidence regarding the relative quality of stock market volatility forecasts evidence can be found supporting the superiority of relatively complex models including arch class models while there is also evidence supporting the superiority of more simple alternatives these inconsistencies are of particular concern because of the use of and reliance on volatility forecasts in key economic decision making and analysis and in asset option pricing this paper employs daily australian data to examine this issue the results suggest that the arch class of models and a simple regression model provide superior forecasts of volatility however the various model rankings are shown to be sensitive to the error statistic used to assess the accuracy of the forecasts nevertheless a clear message is that volatility forecasting is a notoriously difficult task

from value at risk to stress testing the extreme value approach this article presents an application of extreme value theory to compute the value at risk of a market position in statistics extremes of a random process refer to the lowest observation the minimum and to the highest observation the maximum over a given time period extreme value theory gives some interesting results about the distribution of extreme returns in particular the limiting distribution of extreme returns observed over a long time period is largely independent of the distribution of returns itself in financial markets extreme price movements correspond to market corrections during ordinary periods and also to stock market crashes bond market collapses or foreign exchange crises during extraordinary periods an approach based on extreme values to compute the var thus covers market conditions ranging from the usual environment considered by the existing var methods to the financial crises which are the focus of stress testing univariate extreme value theory is used to compute the var of a fully aggregated position while multivariate extreme value theory is used to compute the var of a position decomposed on risk factors 2000 elsevier science b v all rights reserved

deutsche mark dollar volatility intraday activity patterns macroeconomic announcements and longer run dependencies this paper provides a detailed characterization of the volatility in the deutsche mark dollar foreign exchange market using an annual sample of five minute returns the approach captures the intraday activity patterns the macroeconomic announcements and the volatility persistence arch known from daily returns the different features are separately quantified and shown to account for a substantial fraction of return variability both at the intraday and daily level the implications of the results for the interpretation of the fundamental driving forces behind the volatility process is also discussed the efficient market hypothesis contends that financial asset prices provide rational assessments of fundamental values and future payoffs by implication price changes should reflect the arrival and processing of all relevant new information however the proportion of return variability that can be ascribed to public news announcements is low for example cutler poterba and summers 1989 find that even the largest daily price changes in the stock market generally cannot be associated with any significant economic news 1 moreover proxies for the flow of public information e g the number of news items released by reuter s news service berry and hiowe 1994 or dow jones company mitchell and mulherin 1994 explain little of the overall variation thus if private information is ruled out proponents of rational price formation have to assert the existence of important news items

growth waves systemic openness and protectionism there is a distinctively repetitive quality about trade policy problems domestic economic growth slows producers seek protection against foreign competitors and national decision makers raise barriers to trade while at the same time criticizing their counterparts in other governments for engaging in similar practices because trade is one of the more important topics in international and comparative political economy and because this scenario has played itself out more than a few times it is not surprising that a number of theorists have sought to model the underlying processes thought to produce movements toward and away from protectionism by now a variety of different types of approaches ranging from the cognitive to the systemic have been tried systemic structure ideas and ideology surplus capacity business cycles and shifts in elite orientation and domestic coalitions in response to external crises have been emphasized as principal theoretical foci our position is that the different levels of analysis and alternative foci all have merit and utility what they lack is an appreciation for the underlying systemic processes that link together these various facets of the political economy we seek to develop a theoretical argument that explicates these underlying processes the argument centers on recurring growth waves characterized in alternating pattern by the ascent of system leaders and the subsequent successful attempt of technological followers to catch up with the leaders the downturns of the growth waves produce conditions favoring protectionism but we contend the form and the intensity of protectionism that are likely to be produced will depend on which of the two types of growth waves is in progress ascent waves are characterized by the emergence of new technological leaders and a consequent increase in the gap between the leaders and the technological followers during the periods of structural transition and intense

understanding america s hesitant steps toward financial capitalism politics the depression and the separation of commercial and investment banking few would disagree that the glass steagall act of 1933 is thecontinental divide in american financial and banking history bydisallowing banks from getting involved in the investment bankingindustry this act imposed an institutional change that shaped howfinancial institutions conduct their business even today in itsdecline conventional wisdom has it that the act was enacted tocorrect the deficient financial system that existed during theperiod in this paper we investigate whether this assertion can beempirically verified by analyzing the senate vote on a predecessorof this act which included the clause separating commercialbanking from investment banking activities using multinomiallogits we examine what may have motivated senators to vote for itspassage the econometric evidence indicates that the senate votewas significantly influenced by important interest groups including national banks as well as manufacturing sectorinterests despite the large populist outcry for financial marketreforms at the onset of the depression

the relation between implied and realized volatility abstract previous research finds the volatility implied by s p 100 index option prices to be a biased and inefficient forecast of future volatility and to contain little or no incremental information beyond that in past realized volatility in contrast we find that implied volatility outperforms past volatility in forecasting future volatility and even subsumes the information content of past volatility in some of our specifications our results differ from previous studies because we use longer time series and nonoverlapping data a regime shift around the october 1987 crash explains why implied volatility is more biased in previous work

a theoretical comparison between integrated and realized volatility in this paper we provide both qualitative and quantitative measures of the precision of measuring integrated volatility by realized volatility for a fixed frequency of observation we start by characterizing for a general diffusion the difference between realized and integrated volatility for a given frequency of observation then we compute the mean and variance of this noise and the correlation between the noise and the integrated volatility in the eigenfunction stochastic volatility model of meddahi 2001a this model has as special cases log normal affine and garch diffusion models using previous empirical results we show that the noise is substantial compared with the unconditional mean and variance of integrated volatility even if one employs five minute returns we also propose a simple approach to capture the information about integrated volatility contained in the returns through the leverage effect we show that in practice the leverage effect does not matter copyright 2002 john wiley sons ltd

a conditional extreme value volatility estimator based on high frequency returns abstract this paper introduces a conditional extreme value volatility estimator evt based on high frequency returns the relative performance of the evt is compared with the discrete time garch and implied volatility models for 1 day and 20 day ahead forecasts of realized volatility this is also a first attempt towards detecting any time series variation in extreme value distributions using high frequency intraday data the information content of evt is examined in the context of forecasting sp 2 vix generally yields a less accurate characterization of realized volatility than evt and garch models these results have implications for financial risk management and are thus relevant to both regulators and practitioners

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

the limitations of structural theories of commercial policy if a structural theory is one that purports to explain behavior in terms of environmental conditions and that largely eschews analysis of the internal processes of decision makers then it is difficult to identify a theory of commercial policy which is not structural most microeconomic theory is structural so are most balance of power theories in the realm of theories of commercial policy hegemonic stability theories as well as some recently developed theories of international tariff levels fit this description in the latter category judith goldstein s work which attempts to account for american commercial policy in terms of the ideology of american central decision makers and charles kindleberger s ambitious sketch of a general theory of 19th century tariff changes in terms of the diffusion of liberal ideology constitute lonely examples of nonstructural research strategies

the institutional foundations of hegemony explaining the reciprocal trade agreements act of 1934 in 1930 congress approved the highly restrictive smoot hawley tariff the textbook case of pressure group politics run amok four years later congress passed the reciprocal trade agreements act rtaa surrendering much of its tariff making authority to a policy process in which internationalists had increasing influence while the united states had used reciprocity to expand exports before the stick of discriminatory treatment took precedence over the carrot of liberalizing concessions with the transfer of tariff making authority to the executive the united states could make credible commitments and thus exploit its market power to liberalize international trade despite later modifications the rtaa set the fundamental institutional framework for trade politics

the information content of implied volatilities and model free volatility expectations evidence from options written on individual stocks abstract we measure the volatility information content of stock options for individual firms using option prices for 149 us firms and the s p 100 index we use arch and regression models to compare volatility forecasts defined by historical stock returns at the money implied volatilities and model free volatility expectations for every firm for 1 day ahead estimation a historical arch model outperforms both of the volatility estimates extracted from option prices for 36 of the firms but the option forecasts are nearly always more informative for those firms that have the more actively traded options when the prediction horizon extends until the expiry date of the options the option forecasts are more informative than the historical volatility for 85 of the firms however at the money implied volatilities generally outperform the model free volatility expectations

testing the empirical performance of stochastic volatility models of the short term interest rate i introduce two factor discrete time stochastic volatility models of the short term interest rate to compare the relative performance of existing and alternative empiricial specificattions i develop a nonlinear asymmmetric framework that allows for comparisons of non nested models featuring conditional heteoskedasticity and sensitivity of the volatility process to interest rate levels a new class of stochastic volatility models with asymmetric garch models the existing models are rejected in favor of the newly proposed models because of the asymmetric drift of the short rate and the presence of nonlinearity asymmetry garch and level effects in its volatility i test the predictive power of nested and non nested models in capturing the stochastic behavior of the risk free rate empirical evidence on three six and 12 month u s treasury bills indicates but that two factor stochastic volatility models are better than diffusion and garch models in forecasting the future level and volatility of interest rate changes

predicting volatility in the foreign exchange market measures of volatility implied in option prices are widely believed to be the best available volatility forecasts in this article we examine the information content and predictive power of implied standard deviations isds derived from chicago mercantile exchange options on foreign currency futures the article finds that statistical time series models even when given the advantage of ex post parameter estimates are outperformed by isds isds however also appear to be biased volatility forecasts using simulations to investigate the robustness of these results the article finds that measurement errors and statistical problems can substantially distort inferences even accounting for these however isds appear to be too variable relative to future volatility it is widely believed that the volatility implied in option prices is the market s best estimate of future volatility after all if it were not one could devise a trading strategy that could generate profits by identifying mispriced options the purpose of this article is to investigate the information content and predictive power of volatility implied in options on foreign currencies the paper focuses on options on currency futures traded on the chicago mercantile exchange cme because of the depth and liquidity of cme futures and options traded side by side in the same market implied standard deviations isds allow for clean tests of the predictive power of implied volatilities early studies of the information content of isds have generally found that these contain substantial information for future volatility latane and rendleman 1976 chiras and manaster 1978 and beckers 1981 for example regress future volatility on the weighted implied volatility across a broad sample of chicago board options exchange cboe stocks and find that options contain volatility forecasts that are more accurate than historical measures 1 these studies performed shortly after the 1973 beginning of the cboe option market could only use a relatively short time span and therefore focused on cross sections rather than time series predictions

from normalcy to new deal industrial structure party competition and american public policy in the great depression industrial partisan preference may be formally modeled as the joint consequence of pressures from labor and the differential impact of the world economy on particular businesses this basic and static model when extended to cover the money market can be used to examine questions of political development including the effects of fluctuations in national income on political coalitions american institutions and public policy during the new deal are used to test the theory against empirical evidence much of it from new primary sources the rise of the new deal coalition is traced to changes in the american industrial structure deriving from the boom of the 1920s and the reversal of the u s financial position that resulted from world war i in addition to the well known labor militancy of the 1930s the effect of these changes was the rise of a democratic political coalition dominated by capital intensive multinationally dominant firms and industries with a strong interest in free trade and a historically unprecedented ability to cope with major industrial upheavals without resort to force the major public policy initiatives of the new deal are reexamined from this standpoint

an extreme value approach to estimating volatility and value at risk this article determines the type of asymptotic distribution for the extreme changes in u s treasury yields the thin tailed gumbel and exponential distributions are strongly rejected against the fat tailed frechet and pareto distributions the empirical results indicate that the volatility of maximal and minimal changes in interest rates declines as time to maturity rises yielding a downward sloping volatility curve for the extremes the article proposes an extreme value approach to estimating value at risk and shows that the statistical theory of extremes provides a more accurate approach for risk management and value at risk var calculations than the standard models

estimating quadratic variation using realized variance this paper looks at some recent work on estimating quadratic variation using realised variance rv that is sums of m squared returns this econometrics has been motivated by the advent of the common availability of high frequency financial return data when the underlying process is a semimartingale we recall the fundamental result that rv is a consistent as m estimator of quadratic variation qv we express concern that without additional assumptions it seems difficult to give any measure of uncertainty of the rv in this context the position dramatically changes when we work with a rather general sv model which is a special case of the semimartingale model then qv is integrated variance and we can derive the asymptotic distribution of the rv and its rate of convergence these results do not require us to specify a model for either the drift or volatility functions although we have to impose some weak regularity assumptions we illustrate the use of the limit theory on some exchange rate data and some stock data we show that even with large values of m the rv is sometimes a quite noisy estimator of integrated variance

a generalized extreme value approach to financial risk measurement this paper develops an unconditional and conditional extreme value approach to calculating value at risk var and shows that the maximum likely loss of financial institutions can be more accurately estimated using the statistical theory of extremes the new approach is based on the distribution of extreme returns instead of the distribution of all returns and provides good predictions of catastrophic market risks both the in sample and out of sample performance results indicate that the box cox generalized extreme value distribution introduced in the paper performs surprisingly well in capturing both the rate of occurrence and the extent of extreme events in financial markets the new approach yields more precise var estimates than the normal and skewed t distributions

free trade fair trade strategic trade and protectionism in the u s congress 1987 88 what conditions led the one hundredth congress of the united states to enact fair trade and strategic trade policies into law during 1987 88 political partisanship is an important force with democrats supporting and republicans opposing all types of trade intervention otherwise the coalitions of support for and opposition to the various trade policies differ particularly in the senate in that body international business is associated with support for fair trade policies and with opposition to classical protectionism while domestic u s business is associated with support for classical protectionism liberalism is strongly associated with support for fair and strategic trade policies but is not associated with classical protectionism in the house of representatives the long standing protectionist coalition remains an influence few forces in support of free trade remain in u s politics changing international market conditions rapidly affect the making of u s trade policy