The relevance of the development is determined by the possibility of testing a complex analytical methodology for forecasting the daily volatility of Bulgarian investment funds, which will support the investment community in making adequate investment decisions. The used risk attribution...

In this study, we propose a set of covariates that exploit information content of hedge funds' relative size, performance, growth, tail risk, and past liquidation rate, in predicting their liquidation. Empirical results show that our proposed covariates exhibit significant predictive power for...

Suppose a fund manager uses predictors in changing portfolio allocations over time. How does predictability translate into portfolio decisions? To answer this question we derive a new model within the Bayesian framework, where managers are assumed to modulate the systematic risk in part by...

We use a holdings-based attribution model to disaggregate the benchmark-adjusted returns to U.S. equity mutual funds into components that reflect persistent segment tilts, the timing of segment returns, and stock selection relative to their benchmarks. We find that large-cap funds add value by...

The purpose of the Special Issue "Quantitative Methods in Economics and Finance" of the journal Risks was to provide a collection of papers that reflect the latest research and problems of pricing complex derivates, simulation pricing, analysis of financial markets, and volatility of exchange...