Pricing Options on an Asset with Bernoulli Jump-Diffusion Returns

The price movements of certain assets can be modeled by stochastic processes that combine continuous diffusion with discrete jumps. This paper compares values of options on assets with no jumps, jumps of fixed size, and jumps drawn from a lognormal distribution. It is shown that not only the magnitude but also the direction of the mispricing of the Black-Scholes model relative to jump models can vary with the distribution family of the jump component. This paper also discusses a methodology for the numerical valuation, via a backward induction algorithm, of American options on a jump-diffusion asset whose early exercise may be profitable. These cannot, in general, be accurately priced using analytic models. The procedure has the further advantage of being easily adaptable to nonanalytic, empirical distributions of period returns and to nonstationarity in the underlying diffusion process.     

Current Issues in the Analysis of Commercial Real Estate

This paper identifies and discusses a number of current issues regarding our understanding of commercial real estate markets. These issues include: 1) accurate estimation of the quantity and location of our nation's commercial space; 2) an understanding of the linkage between the space and capital markets for commercial real estate; 3) identification of the macroeconomic factors that affect the rate of return on commercial property and whether local market factors also affect the rate of return; 4) problems associated with measuring the return characteristics of equity investments in commercial property (including measures of the diversification benefits and inflation-hedging abilities of this asset class); 5) a better understanding of rental markets, including good measures of changes in effective rents over time; and 6) examination of the rationale for ownership of commercial space by corporate users. This paper reviews recent research related to these questions and suggests future research that should prove to be fruitful.     

VAR,ERROR CORRECTION AND PRETEST FORECASTS AT LONG HORIZONS

This paper focuses on the construction of forecasts over long horizons where a typical long-horizon forecast might span four years using 20 to 40 years’ data. It is argued that the presence of persistence in the form of unit or near-unit autoregressive roots poses substantial difficulties for long-horizon interval and point forecasting. These difficulties may not be overcome even by efficient pre-testing or model-selection procedures and might, in general, lead to point forecasts with large asymptotic root mean squared errors and undesirably wide prediction intervals.     

Advertising,Price and Quality in Self–regulating Professions: A Survey

This paper surveys the theoretical and empirical literature on the relationship between advertising, fees and quality in the self–regulating professions. Much of the literature is derived from the perspective of advertising as an information–enhancing device, helping to reduce the information asymmetry between professional and client. This is consistent with the majority of the empirical studies which suggest that advertising tends to have a downward effect on professional fees, with little if any adverse effect on quality. There are, however, important issues of method and measurement which may lessen the force of this conclusion     

Further Ambiguity When Performance Is Measured by the Security Market Line

This paper employs the optimality conditions for expected utility and mean-variance portfolio problems to examine the ambiguities associated with the security market line criterion both at a point in time and through time. At a point in time, we show that the security market line criterion can be irrelevant, even in meanvariance economies. In a multiperiod setting, we show that the analysis of performance based on portfolio choice is inconsistent with the analysis based on return generating models. Empirical work suggests that the inconsistency can lead to dramatically different estimates of a security's required return.     

Employee involvement in American corporations

At the direction of the U.S. Senate subcommittee on Governmental Affairs, the general Accounting Office (GAO) conducted a survey of employee involvement practices within American companies. The population consisted of top management within Fortune's 500 largest manufacturing and 500 largest service companies. An analysis of the data examined three broad areas relating to employee involvement: (1) the existing organizational programs and processes such as personnel practices, information sharing, and training; (2) the degree of corporate participation in specific employee involvement programs including the reasons for undertaking employee involvement programs, and the perceived barriers to the implementation of employee involvement programs; and (3) the perceived effect of employee involvement on organizational operation as measured by changes in indicators of performance and activities within the internal business environment.