Abstract These days the use of portfolio assessment is very popular. If it is believed that students at all levels should be doing more than studying for tests; teachers should be doing more than teaching to tests; students should take a more active role in the learning process; and, then the portfolio assessment is an idea worth exploring.. The aim of this study was to introduce portfolio asse...

Adaptive portfolio management has been studied in the literature of neural nets and machine learning. The recently developed Temporal Factor Analysis (TFA) model mainly targeted for further study of the Arbitrage Pricing Theory (APT) is found to have potential applications in portfolio management. In this paper, we aim to illustrate the superiority of APT-based portfolio management over return-...

IT spending has been recognised as representing a large percentage of the budget for organisations. Research has shown that significant value can be derived from IT investments if organisations actively and effectively manage their IT investments using a portfolio management approach. The goal of this paper is to contribute to the understanding of how IT portfolio management affects strategic I...

This article studies the contracting problem between an individual investor and a professional portfolio manager in a continuous-time principal-agent framework. Optimal contracts are obtained in closed form. These contracts are of a symmetric form and suggest that a portfolio manager should receive a fixed fee, a fraction of the total assets under management, plus a bonus or a penalty depending...

We model dynamic credit portfolio dependence by using default contagion in an intensity-based framework. Two different portfolios (with 10 obligors), one in the European auto sector, the other in the European financial sector, are calibrated against their market CDS spreads and the corresponding CDS-correlations. After the calibration, which are perfect for the banking portfolio, and good for t...

We propose a new one-parameter family of risk functions defined on portfolio return sample -paths, which is called conditional drawdown-at-risk (CDaR). These risk functions depend on the portfolio drawdown (underwater) curve considered in active portfolio management. For some value of the tolerance parameter α , the CDaR is defined as the mean of the worst % 100 ) 1 ( ∗ − α drawdowns. The CDaR ...