The Coevolution of the Real and Financial Sectors in the Growth Process

The role of debt and equity changes over time and with the levelof development. What are these changes, and why should theysystematically occur across different countries and time periods?This article characterizes financial innovation as a dynamicprocess that both influences and is influenced by the developmentof the real sector. It focuses on the emergence and developmentof equity markets, using a model that allows for growth andfor capital accumulation that is financed externally througha combination of debt and equity. As an economy develops, theaggregate ratio of debt to equity will generally fall; yet,debt and equity remain complementary sources for the financingof capital investments. The results suggest how various governmentpolicy actions might affect capital accumulation and equitymarket activity.     

Some Tests of APT Mispricing Using Mimicking Portfolios

Cross-sectional and time-series tests using mimicking portfolios are used to assess the exactness of the APT with(out) a residual market factor. The first factor seems to be sufficient to span the efficient set, whether the model is estimated using (un)conditional variance-covariance matrices that are (un)adjusted for nonsynchronous trading. Although the conditional standard deviations of the mimicking portfolios significantly explain the time-variability of security volatilities, the residuals of the mean equation still exhibit heteroskedasticity. Similar results are obtained for portfolios of CAPM-betaranked securities, and for randomly selected individual securities.     

Wavelet Analysis of the Bombay Stock Exchange Index

The fluctuations in the rate of returns of the Bombay stock exchange are analyzed through wavelet transform. The fluctuations, in various time scales, naturally separated by the wavelets, are subjected to statistical analysis. The localization and multiresolution properties of the wavelets enable one to identify collective behaviour in the stock market and the extent of their influence at various time scales. The Gaussian nature of the rate of returns at certain scales and the periodic nature of the same, at other scales, are clearly brought out by this analysis. The utility of this approach for modeling purpose is also elucidated.

     

Likelihood-based specification analysis of continuous-time models of the short-term interest rate

An extensive collection of continuous-time models of the short-term interest rate is evaluated over data sets that have appeared previously in the literature. The analysis, which uses the simulated maximum likelihood procedure proposed by Durham and Gallant (2002), provides new insights regarding several previously unresolved questions. For single factor models, I find that the volatility, not the drift, is the critical component in model specification. Allowing for additional flexibility beyond a constant term in the drift provides negligible benefit. While constant drift would appear to imply that the short rate is nonstationary, in fact, stationarity is volatility-induced. The simple constant elasticity of volatility model fits weekly observations of the three-month Treasury bill rate remarkably well but is easily rejected when compared with more flexible volatility specifications over daily data. The methodology of Durham and Gallant can also be used to estimate stochastic volatility models. While adding the latent volatility component provides a large improvement in the likelihood for the physical process, it does little to improve bond-pricing performance.     

Myopic loss aversion and the equity premium puzzle reconsidered

Benartzi and Thaler [The Quarterly Journal of Economics 110 (1995) 73–92] offer a quasi-rational explanation for the equity premium puzzle. We reconsider their methodology and, making a simple modification to it, find that their analysis is not robust.     

Position limits for cash‐settled derivative contracts

Cash settlement of derivative contracts makes them susceptible to manipulation by traders who expect to close large positions upon final settlement. Cash settlement also increases underlying volatility when hedgers unwind their hedges if they have no incentives to control their trading costs. Limits on the positions that traders can carry into final settlement can be used to mitigate associated economic inefficiencies when surveillance is insufficient. This article develops a model that regulators can use to set these limits that is based upon microstructure theory. The empirical findings indicate that existing position limits are largely inconsistent with those suggested by the model. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:945–965, 2005     

Beyond Self-Regulation: Towards A Critique of Self-Regulation As A Control Strategy For Hazardous Activities*

After highlighting some of the key issues and positions in the debate around appropriate preventive regulation, the paper presents a number of observations directed at the proponents of greater self-regulation. These observations confront directly a number of familiar, but often unchallenged, arguments for self-regulation. More centrally we address claims concerning, the extent to which the chemicals industries have a good and improving ‘safety’ record; and whether the sector consists of companies both motivated and capable in the context of effective crisis and disaster management. Lastly, the paper sets out some ‘new directions’ for the nature and role of regulation in the effective prevention of crises. Thus the paper indicates a number of regulatory developments which are distinct from any shift towards greater self-regulation, but which would result in more effective crisis and disaster prevention in the UK chemicals industries and, indeed, beyond that specific sector.