Estimating asset correlations is difficult in practice since there is little available data and many parameters have to be found. Paul Demey, Jean-Frédéric Jouanin, Céline Roget and Thierry Roncalli present a tractable version of the multi-factor Merton model in which firms are sorted into...

We give an explicit algorithm and source code for combining alpha streams via bounded regression. In practical applications typically there is insufficient history to compute a sample covariance matrix (SCM) for a large number of alphas. To compute alpha allocation weights, one then resorts to...

In the evident of globalised world economy and changing economic structure, the traditional policies are required to be close examination. This is true particularly in case of developing countries, like India where new economic policies have had been changing visibly since 1990s. Therefore, in...

An investment manager can solve portfolio optimizations problems in many different ways. However, he needs to be very careful when it comes to selecting optimization algorithms because the performance can be very different especially when the global universe of assets is large. We will in this...

Robustness checks, such as adding controls or sample splits, are a standard feature of reduced-form empirical research. Because of computational costs of reestimating alternative models, they are much less common in structural re- search using simulation-based methods. We propose a simple...

Investors typically measure an asset’s potential to diversify a portfolio by its correlations with the portfolio’s other assets, but correlation is useful only if it provides a good estimate of how an asset’s returns co-occur cumulatively with the other asset returns over the investor’s...

Cross-sectional asset pricing tests with GMM can generate spuriously high explanatory power for factor models when the moment conditions are specified such that they allow the estimated factor means to substantially deviate from the observed sample averages. In fact, by shifting the weights on...

We consider two multivariate long-memory ARCH models, which extend the univariate long-memory ARCH models, we first consider a long-memory extension of the restricted constant conditional correlations (CCC) model introduced by Bollerslev (1990), and we propose a new unrestricted conditional...

Upside and downside capture ratios are used to assess the quality of investment managers and investment strategies. We propose a simple theoretical model which predicts that the upside capture ratio is an increasing function of the measurement interval length and that the downside capture ratio...

We propose an estimator for the stochastic discount factor (SDF) that does not require macroeconomic proxies or preference assumptions. It depends only on observed asset returns, yet is immune to the form of the multivariate return distribution, including the distribution's factor structure....