Estimation methods for stochastic volatility models: a survey

Abstract.  Although stochastic volatility (SV) models have an intuitive appeal, their empirical application has been limited mainly due to difficulties involved in their estimation. The main problem is that the likelihood function is hard to evaluate. However, recently, several new estimation methods have been introduced and the literature on SV models has grown substantially. In this article, we review this literature. We describe the main estimators of the parameters and the underlying volatilities focusing on their advantages and limitations both from the theoretical and empirical point of view. We complete the survey with an application of the most important procedures to the S&P 500 stock price index.     

On the generic impossibility of truthful behavior: A simple approach

Summary We provide an elementary proof showing how in economies with an arbitrary number of agents an arbitrary number of public goods and utility functions quasi-linear in money, any efficient and individually rational mechanism is not strategy-proof for any economy satisfying a mild regularity requirement.The authors wish to thank William Thomson, Salvadpr Barberá, José Angel Silva and an anonymous referee for helpful comments. The remaining errors are our exclusive responsibility. Financial support from DGICYT under project PB 91-0756 and the Instituto Valenciano de Investigaciones Económicas is gratefully acknowledged.     

Automatic balancing mechanisms for notional defined contribution accounts in the presence of uncertainty

The notional defined contribution model combines pay-as-you-go financing and a defined contribution pension formula. This paper aims to demonstrate the extent to which liquidity and solvency indicators are affected by fluctuations in economic and demographic conditions and to explore the introduction of an automatic balancing mechanism (ABM) into the pension scheme. We demonstrate that the introduction of an ABM reduces the volatility of the buffer fund and that, in most cases, the automatic mechanism that re-establishes solvency produces the highest value of the risk-adjusted notional factor.     

The effects on investment incentives of an allowance for corporate equity tax system: the Belgian case as an example

The Modigliani–Miller theorem serves as the standard finance paradigm on corporate capital structure and managerial decision making. Implicitly, it is assumed that the market possesses full information about the firm. However, if firm managers have insider information, they may attempt to ‘signal’ changes in the firm’s financial structure and, in competitive equilibrium, shareholders will draw deductions from such signals. Empirical work shows that the value of underlying firms rises with leverage because investors expect such firms to implement positive NPV projects. We empirically examine this view using a sample of debt issue announcements by publicly traded firms listed on the London Stock Exchange. We argue that the timing of debt issues is fundamental in determining the relationship between leverage and risk-adjusted returns. We show that an announcing firm’s intrinsic value may not rise depending on when management publicly ‘signals’ changes in their firm’s capital structure. Specifically, we show that risk-adjusted returns rise positively for firms that make debt announcements during normal economic conditions while they tend to decline for firms making debt announcements during recessionary periods. During recessionary periods, market risk and loss aversion rise and investors focus less on the potential growth of debt announcing firms and focus more on potential losses instead. We conclude that the timing of new debt is of paramount importance and managers’ inability to prudently time such announcements can lead to exacerbated levels of systematic risk coupled with a significant erosion in shareholder wealth.     

An algorithm for panel ANOVA with grouped data

In this paper, we present an algorithm suitable for analysing the variance of panel data when some observations are either given in grouped form or are missed. The analysis is carried out from the perspective of ANOVA panel data models with general errors. The classification intervals of the grouped observations may vary from one to another, thus the missing observations are in fact a particular case of grouping. The proposed Algorithm (1) estimates the parameters of the panel data models; (2) evaluates the covariance matrices of the asymptotic distribution of the time-dependent parameters assuming that the number of time periods, T, is fixed and the number of individuals, N, tends to infinity and similarly, of the individual parameters when T → ∞ and N is fixed; and, finally, (3) uses these asymptotic covariance matrix estimations to analyse the variance of the panel data.     

An Empirical Investigation on the Transfer of Expatriates Within MNCs from a Knowledge Perspective

We study the use of expatriates in transferring knowledge within a multinational corporation (MNC). We argue that MNCs use expatriates to allocate knowledge between headquarters and its foreign affiliates. With data from MNCs headquartered in South Korea, we trace unobservable knowledge using observable labour mobility. Our empirical analysis shows that the use of expatriates increases as communication between South Korea and the host country becomes more costly. However, the extent to which the use of expatriates relates with communication costs decreases in the sectoral complexity.     

Pay dispersion among the top management team and outside directors: Its impact on firm risk and firm performance

Two key groups central to improving firm performance are the top management team (TMT) and the board of directors. Executives undertake strategic actions, whereas board members fulfill their resource provision and monitoring roles. Drawing on tournament theory and equity theory, we propose that high pay dispersion among outside directors and the TMT is positively associated with strategic risk, whereas high (low) TMT pay dispersion and low (high) outside director pay dispersion are positively associated with firm performance. Our predictor is the unexplained component of horizontal pay dispersion, or the residual of pay dispersion resulting from regressing pay on observable firm, industry, period, and individual characteristics. Our results highlight the importance of unexplained pay dispersion for TMTs, but not for boards of directors, in improving firm performance.