It is common to split a dataset into training and testing sets before fitting statistical or machine learning model. However, there no clear guidance on how much data should be used for testing. In this article we show that the optimal splitting ratio $\sqrt{p}:1$, where $p$ number of parameters in linear regression model explains well.

Currency crises that coincide with banking crises tend to share at least three elements. First, banks have a currency mismatch between their assets and liabilities. Second, banks do not completely hedge the associated exchange rate risk. Third, there are implicit government guarantees to banks and their foreign creditors. This paper argues that the "rst two features arise from banks' optimal re...

We consider the problem of an electric-power marketer offering a fixed-price forward contract to provide electricity that it purchases from a potentially volatile and unpredictable fledgling spot energy market. One option for the risk-averse marketer who wants to hedge against the spot-price volatility is to engage in cross hedging to reduce the contract’s profit variance, and to determine the ...

Incentive compensation induces correlation between the portfolio of managers and the cash flow of the firms they manage. This correlation exposes managers to risk and hence gives them an incentive to hedge against the poor performance of their firms. We study the agency problem between shareholders and a manager when the manager can hedge his incentive compensation using financial markets and s...

We present an explicit formula for European options on coupon bearing bonds and swaptions in the Heath-Jarrow-Morton (HJM) one factor model with non-stochastic volatility. The formula extends the Jamshidian formula for zero-coupon bonds. We provide also an explicit way to compute the hedging ratio (∆) to hedge the option with its underlying.

I propose a model of production and financing for firms in an open economy, which features financial frictions and imperfect competition in the domestic goods market. The optimal currency composition of debt comes from the motive to hedge currency exposure, which arises from the industry equilibrium in the domestic goods market. Using a panel dataset of traded Mexican firms, I find evidence tha...

We document novel patterns of insider investment in hedge funds, and explore the implications for fund returns. Using a comprehensive and survivor-bias free dataset of U.S. hedge funds, we find that funds with greater investment by insiders outperform funds with less “skin in the game” on a factor-adjusted basis. Our results have implications for optimal portfolio allocations of institutional i...

This paper features a tri-criteria analysis of Eurekahedge fund data strategy index data. We use nine Eurekahedge equally weighted main strategy indices for the portfolio analysis. The tri-criteria analysis features three objectives: return, risk and dispersion of risk objectives in a Multi-Criteria Optimisation (MCO) portfolio analysis. We vary the MCO return and risk targets and contrast the ...

only with price risk (Ward and Fletcher; Peck). Subsequently, research has considered Incorporation of futures markets into the Peck) Subseqently, research has considered theory of the firm under uncertainty has reproduction and price risks (Rolfo), price and ceived considerable attention in risk manrisks (Harris and Baker) and price agement. A theoretical model of optimal firm production, and ...

This paper reviews both theoretical and empirical studies of financial transmission rights (FTRs) in the major U.S. wholesale power markets and provides a simple illustrative two-stage model to study the competitive behaviors of electricity generators (wholesale power sellers) and load serving entities (LSEs)(wholesale power buyers) and the welfare effects of FTRs in the restructuring U.S. whol...