Volatility is usually considered as a synonym for risk. Mainstream financial theory states that higher portfolio volatility is translated into higher expected returns while diversification helps eliminate idiosyncratic risks. This leaves us with an apparent anomaly as low-risk (low-beta) stocks...

Capitalization-weighted indexes are the most common way to gain access to broad equity market performance. However, interest in risk based investing has grown steadily in the recent post-crisis years as investors seek to overcome the limitations of traditional approaches to asset allocation....

Portfolio managers are rarely able to express views on expected returns in a quantitative way. This paper tackles this issue by proposing a simple framework which allows these views to be part of an efficient portfolio construction process. This approach accommodates both a wide range of...

Integrated Trend Analysis is an attempt to study and analysis the diverse forces which affect the price of a security with the help of Triple Trend Oscillator (TTO). TTO is a trend following oscillator devised to identify the exact technical strength of a stock or indices over multiple...

In this paper, we apply the principle of Equal Risk Contribution (ERC) to a corporate bond index, an asset class so far left behind in this literature. Specifically, we rely on the Duration Times Spread (DTS) and demonstrate that it is a coherent metric for bond risk. We construct indexes based...

This paper studies the prior-free allocation framework of Chassang (2016) in continuous time, and proposes a simple analytical approximation of the optimal solution. Numerical analysis based on actual and simulated data demonstrates the robustness of the proxy strategy. The result of the paper...

This paper presents new approach to financial modeling and forecasting that is based on economic space notion. Economic space is defined as generalization of risk ratings and allows boost methods and description of financial processes. Risk ratings of economic agents are treated as coordinates...

This article develops a model that takes into account skewness risk in risk parity portfolios. In this framework, asset returns are viewed as stochastic processes with jumps or random variables generated by a Gaussian mixture distribution. This dual representation allows us to show that skewness...

The mean-variance optimization (MVO) theory of Markowitz (1952) for portfolio selection is one of the most important methods used in quantitative finance. This portfolio allocation needs two input parameters, the vector of expected returns and the covariance matrix of asset returns. This process...

We consider a market economy where two rational agents are able to learn the distribution of future events. In this context, we study whether moving away from the standard Bayesian belief updating, in the sense of under-reaction to some degree to new information, may be strategically convenient...