Hedging under the influence of transaction costs: An empirical investigation on FTSE 100 index options

The Black–Scholes (BS; F. Black & M. Scholes, 1973) option pricing model, and modern parametric option pricing models in general, assume that a single unique price for the underlying instrument exists, and that it is the mid‐ (the average of the ask and the bid) price. In this article the authors consider the Financial Times and London Stock Exchange (FTSE) 100 Index Options for the time period 1992–1997. They estimate the ask and bid prices for the index, and show that, when substituted for the mid‐price in the BS formula, they provide superior option price predictors, for call and put options, respectively. This result is reinforced further when they .t a non‐parametric neural network model to market prices of liquid options. The empirical .ndings in this article suggest that the ask and bid prices of the underlying asset provide a superior fit to the mid/closing price because they include market maker's, compensation for providing liquidity in the market for constituent stocks of the FTSE 100 index. © 2007 Wiley Periodicals, Inc. Jrl Fut Mark 27:471–494, 2007     

On the incentives to experiment in federations

Conventional wisdom has it that policy innovation is better promoted in a federal rather than in a unitary system. Recent research, however, has provided theoretical evidence to the contrary: a multi-jurisdictional system is characterized—due to the existence of a horizontal information externality—by under-provision of policy innovation. This paper presents a simple model that introduces political competition for federal office and emphasizes that such competition plays an important role in shaping the incentives for experimentation. For, in this case, political actors use the innovative policies to signal ability to the electorate. This effect may offset the effect that arises from the incentive to free ride, and so a federal system may generate more innovation than a unitary one.     

The BDS Test as a Test for the Adequacy of a GARCH(1,1) Specification: A Monte Carlo Study

In this study we examine the widely used Brock, Dechert, andScheinkman (BDS) test when applied to the logarithm of the squaredstandardized residuals of an estimated GARCH(1,1) model as atest for the adequacy of this specification. We review the conditionsderived by De Lima (1996; Econometric Reviews 15, 237–259)for the nuisance-parameter-free property to hold and addressthe issue of their necessity, using the flexible framework offeredby the GARCH(1,1) model in terms of moment, memory, and timeheterogeneity properties. By means of Monte Carlo simulations,we show that the BDS test statistic still approximates the standardnull distribution even for mildly explosive processes that violatethe majority of the conditions. Thus the test performs reasonablywell, its empirical size being rather close to the nominal one.As a by-product of this study, we also shed light on the relatedissue of the consistency of the QML estimators of the conditionalvariance parameters under various parameter configurations andalternative distributional assumptions on the innovation process.     

Size and book-to-market factors in the relationship between average stock returns and average book returns: some evidence from an emerging market

The present paper examines the association between average stock returns and average book returns and addresses the question as to whether there are common size and book-to-market factors in earnings and returns. The results of the empirical research, conducted in the Athens Stock Exchange, suggest that when the sample firms are grouped into size, book-to-market portfolios stock returns properly reflect differences in the evolution of accounting profitability. Moreover, it is found that the return on investment (ROI) measure contains size and book-to-market factors analogous to the mimic risk factors inherent in stock returns, in the sense that they capture information missed by ROI.     

Career concerns and firm – sponsored general training

This article studies the provision of firm-sponsored general training in the presence of workers' career concerns. The model builds on the argument that the provision of general training reduces the employer's monopsony power. In this context, it is shown that the worker's implicit incentives to provide effort increase with the level of acquired general skills. The employer takes this reciprocal effect into account and becomes more willing to invest in general human capital. When the positive effect of training on worker's effort incentives is strong enough, the equilibrium outcome may involve overinvestment relative to the first-best. It is also shown that a sharper increase in worker's power associated with additional training may either strengthen or weaken the employer's investment incentives and can have either beneficial or detrimental effects on welfare.     

Person–place congruency in the Internet Banking context

This study proposes and empirically validates a model that incorporates the interaction effects of consumer's shopping orientation (utilitarian/recreational) and attitudes towards the online store atmospheric qualities (information related cues, navigation cues, aesthetic cues) on online shopping behavior. The use of an underutilized technique for detecting interaction effects unveils the superiority of interaction effects over direct effects in explaining online shopping behavior. Results reveal significant interaction effects during the information search stage but not during the purchase stage. Furthermore, the interaction effects were significant only for utilitarian shoppers but not for the recreational ones. The results signify the distinctive nature of online shopping compared to the offline one, and the need for retailers to distinguish online and offline store atmosphere management.     

A unified solution approach for the due date assignment problem with tardy jobs

We analyze a number of due date assignment problems with the weighted number of tardy jobs objective and show that these problems can be solved in O(n²) time by dynamic programming. We show that the effects of learning or the effects of past-sequence-dependent setup times can be incorporated into the problem formulation at no additional computational cost. We also show that some single-machine due date assignment problems can be extended to an identical parallel machine setting. Finally, we improve the complexity of the solution algorithms for two other due date assignment problems.     

Does Terrorism Affect the Stock‐Bond Covariance? Evidence from European Countries

Using daily stock and bond returns data from four European countries—France, Germany, Spain, and Great Britain—that have been the victims of significant terrorist activity, this study addresses the issue of whether transnational and/or domestic terrorist attacks have affected in any significant manner the time‐varying stock–bond covariance, their returns, and their variances. Stock and bond markets can be influenced and determined not only by the usual array of macroeconomic factors but also by security shocks, such as a terrorist incident, that have the potential to affect investors' sentiment and portfolio allocation decisions. The issue at hand is addressed using a VAR(p)‐GARCH(1,1)‐in‐mean model, and the results reported herein indicate that terrorist attacks trigger a flight‐to‐safety effect primarily in France and Germany and to a smaller degree in Great Britain and Spain.     

Mauteinführung,Mauterhöhung und Nutzerreaktionen in Deutschland

Der Stra?engüterverkehr nimmt in Deutschland immer mehr zu. Dies führt zu einem wachsenden Regelungsbedarf. Sowohl der Güterverkehr auf der Stra?e als auch die Wechselwirkungen zu anderen Verkehrstr?gern sollten so effizient wie m?glich ablaufen, um Staus auf den Stra:sBen weitgehend zu verhindern und die Umwelt so wenig wie m?glich zu belasten. Welche Wirkung hatte die Einführung der Maut? Wie wirkt die seit Januar 2009 bestehende Erh?hung der Maut? Wie reagieren die Nutzer?     

Revisiting the forward—spot relation: an application of the nonparametric long-run correlation coefficient

This study revisits the statistical relationship between the spot and the forward rate. Unlike previous studies, this association is measured by the estimation of the long-run correlation coefficient, a non-parametric measure of linear association. This estimator was shown to be equivalent to the Bartlett kernel spectral estimator of the complex coherency at frequency zero. This statistic allows for the measurement of the intensity of correlation. Using data for the ￡/DM over the May 1992 British General Election and September 1992 ERM devaluation, and for the FF/DM, BEF/DM, AT/DM, and NLG/DM up to the introduction of Euro, the results show that the predictive ability of the forward rate increased.