This article assesses the ability of flexible dynamic correlation specifications to improve asset allocation decisions. To that end, we use the recently proposed Rotated Dynamic Conditional Correlation (RDCC) model that enables the estimation of models with high degree of parameterization and...

Numerous studies have shown that international emissions trading can significantly lower the costs of greenhouse gas (GHG) abatement. Economic models, however, ignore the substantial economic and political risks associated with investments in developing countries, where -according to these...

FinTech is a new term combining finance and technology. The term did not exist until the end of 2014. Although there is agreement over what finance is, there is no agreed upon definition of technology. It changes with time. American sociologist Read Bain wrote in 1937 that technology includes...

Mutual funds generally do not invest in venture capital, private equity, or restricted shares of public companies. Consequently, individuals who desire to invest in such securities are unable to do so through diversified mutual funds. In this paper, we identify public policies and regulations...

Mean-Variance portfolios are optimal in-sample, however they tend to perform poorly out-of-sample (even worse than the 1/N naïve portfolio!) We introduce a new portfolio construction method that substantially improves the Out-Of-Sample performance of diversified portfolios.The full paper is...

For large portfolio managers, a sequence of single-period optimal positions is rarely multi-period optimal. In particular, transaction costs can prevent large portfolio managers from monetizing most of their forecasting power. The solution is to compute the trading trajectory that comes...

This study was based on the hypothesis that a fund manager has incentive to take more risk with funds to conceal his actual management ability. A theoretical model was built to test this hypothesis. According to the model, when a fund manager's ability is not observable, a poor fund manager may...

This paper presents the performance of seven portfolios created using clustering analysis techniques to sort out assets into categories and then applying classical optimization inside every cluster to select best assets inside each asset category.The proposed clustering algorithms are tested...

Behavioral finance presented in Finance for Normal People is a second generation behavioral finance. The first generation, starting in the early 1980s, largely accepted standard finance's notion of people's wants as “rational” wants – restricted to the utilitarian benefits of high returns...

Calibrating a trading rule using a historical simulation (also called backtest) contributes to backtest overfitting, which in turn leads to underperformance. We propose a procedure for determining the optimal trading rule (OTR) without running alternative model configurations through a backtest...