Option pricing with stochastic volatility models

A general class of models for derivative pricing with stochastic volatility is analyzed. We include the possibility of jumps for the paths of the asset's price and for those of its volatility. We also consider the case of correlation between the process of the asset's price and that of its volatility. In this way we are able to give a unifying view on most of the models studied in the literature. We will examine theoretical issues related to the market price of volatility risk, the equivalent martingale measures and the possibility of obtaining a numerically tractable formula for contingent claim pricing. Finally, we propose some methodologies to test the behavior of stochastic volatility models when applied to market data.     

Purchasing management in the luxury industry: organization and practices

Traditional supply chain models were developed mainly for non-luxury companies and find very little correspondence in the field of luxury, which is considered here as a business super-area including heterogeneous enterprises, belonging to different sectors, which have in common customers characterized by the “need for luxury”. The objective of this paper is to investigate, through a multiple case-study research, peculiar purchasing and supply management practices put in place by luxury firms and to provide a classification of the most recurring approaches. Relevant dimensions (i.e. product complexity and sale volume) to classify luxury firms practices have been used: as a result, four groups of companies have been identified and their purchasing practices described.     

Factors Influencing Corporate Environmental Disclosure

In this paper, we have studied the factors that influence the environmental disclosures of Italian listed companies. We also aimed to verify the effects produced by the introduction of specific legislation (albeit of a voluntary nature) on environmental disclosures. The analysis has the advantage of including all of the informational documents produced by the company. The analysis shows an (excessively) low level of disclosure of environmental information by the companies examined. The econometric analysis then shows, contrary to our hypothesis and the results of previous analyses carried out in other countries, a negative and statistically significant relationship between environmental disclosures, the presences of minority shareholders and large auditors and the listing of the company, including in foreign markets. We lastly observed that the introduction of ad hoc legislation as purely voluntary only affects the contents of quantitative environmental disclosures, which are unsuitable for a highly industrialized developed country. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment     

How much equity capital did the Tokyo Stock Exchange really raise?

Even though the channelling of equity capital from savers to listed firms is one of the primary functions of a stock market, not much effort has been devoted to the problem of measuring the phenomenon. External equity financing, traditionally associated with the issue of new shares, depends also on the sale of already issued shares. This additional form of collection of equity capital becomes relevant when the firms of the market are connected by cross-shareholdings (as in Japan): the phenomenon of equity carve-out is a relevant example of equity financing obtained through the sale of existing shares. The paper presents a model for computing the equity capital raised by companies listed in a given stock exchange over a specified period of time, which is non trivial when firms are connected by cross-shareholdings. A numerical computation of the net amount of equity financing in the Tokyo Stock Exchange in the period 1971–1992 is reported: it shows that the net (or true) measure is significantly different and, in most cases, lower than the conventional one.     

Optimal design of experiments to identify latent behavioral types

Bayesian optimal experiments that maximize the information gained from collected data are critical to efficiently identify behavioral models. We extend a seminal method for designing Bayesian optimal experiments by introducing two computational improvements that make the procedure tractable: (1) a search algorithm from artificial intelligence that efficiently explores the space of possible design parameters, and (2) a sampling procedure which evaluates each design parameter combination more efficiently. We apply our procedure to a game of imperfect information to evaluate and quantify the computational improvements. We then collect data across five different experimental designs to compare the ability of the optimal experimental design to discriminate among competing behavioral models against the experimental designs chosen by a “wisdom of experts” prediction experiment. We find that data from the experiment suggested by the optimal design approach requires significantly less data to distinguish behavioral models (i.e., test hypotheses) than data from the experiment suggested by experts. Substantively, we find that reinforcement learning best explains human decision-making in the imperfect information game and that behavior is not adequately described by the Bayesian Nash equilibrium. Our procedure is general and computationally efficient and can be applied to dynamically optimize online experiments.

     

Exchange rate expectations and risk premia in the European Monetary System: 1985–1991

Using a new set of survey data on EMS exchange rates, we investigate exchange rate expectations and risk premia between December 1985 and August 1991 to assess credibility of the system. It appears that the EMS—with the exception of the Italian lira—had become credible since early 1990. Moreover, one of the core predictions of the target zone literature—the inverse correlation between the position of the spot rate in the fluctuation band with its expected change—is corroborated for several currencies in the period after April 1990. Although the system appeared to be more credible, the persistence of interest differentials suggested the existence of risk premia. For four out of six currencies we find a significant relationship between the risk premium and the inflation differential relative to Germany.