A discrete time probabilistic model, for optimal equity allocation and portfolio selection, is formulated so as to apply to (at least) reinsurance. In the context of a company with several portfolios (or subsidiaries), representing both liabilities and assets, it is proved that the model has...

LOT liquidity model, which is a kind of Tobit model with two unknown censoring points, is commonly used in the literature of microstructure of financial markets to estimate transaction costs and market liquidity from the observed return series. As far as the estimation is concerned, method based...

We clarify that the widely used estimation method for the LOT liquidity model in the market microstructure literature is improper in the sense of econometric inference. Based on an extensive simulation study and a real data analysis, we show that this method not only overestimates the true...

We consider the general class of discrete-time, finite-horizon intertemporal asset pricing models in which preferences for consumption at the intermediate dates are allowed to be state-dependent, satiated, non-convex and discontinuous, and the information structure is not required to be...

Effective risk management is an important aspect of farming. Risk management involves choosing among alternatives that reduce the financial effects of the uncertainties of weather, yields, prices, government policies, and other factors that can cause wide swings in farm income. To deal with...

In today's turbulent marketplace with unprecedented portfolio turnover, transition activity and drawdowns, one must identify and eliminate all sources of Sharpe ratio erosion. In this environment, trading costs and risks are significant contributors to this performance drag and avoiding them is...

We formally test the age-old question of whether professionally managed equity funds outperform portfolios of stocks selected at random, also known as ‘dartboard' or ‘monkey' portfolios. We examine the case of UK equity mutual funds between 1980 and 2011. We employ alpha and the t-statistic...

There is heterogeneity in individual forecasts of any variable — inflation, corporate earnings, etc. The standard consensus estimate takes a simple average of individual forecasts, implicitly treating each forecast as a common signal plus noise. If some individuals know more than others, then...

Several attempts have been made to reduce the impact of estimation errors on the optimal portfolio composition. On the one hand, improved estimators of the necessary moments have been developed and on the other hand, heuristic methods have been generated to enhance the portfolio performance, for...

Several attempts have been made to reduce the impact of estimation errors on the optimalportfolio composition. On the one hand, improved estimators of the necessary momentshave been developed and on the other hand, heuristic methods have been generated to enhancethe portfolio performance, for...