The previous literature on momentum investments has only considered the so called unconstrained momentum return. This paper will investigate budget constrained momentum returns by using two different datasets. The conclusion is that unconstrained momentum returns systematically overestimate the...

Modern Portfolio Theory (MPT), as developed by Markowitz (1952) and others, is often described as a nice but impractical theory. The full MPT framework is very sensitive to parameters like the expected returns which are estimated with errors, resulting in allocations with even larger errors....

VAA (Vigilant Asset Allocation) is a dual-momentum based investment strategy with a vigorous crash protection and a fast momentum filter. Dual momentum combines absolute (trendfollowing) and relative (strength) momentum. Compared to the traditional dual momentum approaches, we have replaced the...

Investors are inextricably linked to financial institutions, money managers, and the products they market. Mutual funds, exchange-traded funds (ETFs), hedge funds, and pension funds manage or hold roughly $55 trillion in combined wealth. This chapter examines these topics with a behavioral...

We provide some new tools to evaluate trading strategies. When it is known that many strategies and combinations of strategies have been tried, we need to adjust our evaluation method for these multiple tests. Sharpe Ratios and other statistics will be overstated. Our methods are simple to...

Fixed income investors favor higher yields with lower risk. Our objective in this paper is to outline an active fixed income strategy that maximizes yield and is protected against major risk factors affecting fixed income securities. In particular, we look at interest rate risk, credit risk,...

Continuously rebalanced long-short trades are similar to highly levered trades in that their PNL profile depends not only on the final distribution of return, but also on the realized co-variance structure of the asset pair. It's easily possible for both orientations of a rebalanced long-short...

We show how one can use deep neural networks with macro-economic data in conjunction with price-volume data in a walk-forward setting to do tactical asset allocation. Low cost publicly traded ETFs corresponding to major asset classes (equities, fixed income, real estate) and geographies (US,...

We give an explicit formulaic algorithm and source code for building long-only benchmark portfolios and then using these benchmarks in long-only market outperformance strategies. The benchmarks (or the corresponding betas) do not involve any principal components, nor do they require iterations....

We examine the sentiment levels of individual investors relative to subsequent short-term market returns for 1992-2010. We find that sentiment, proxied by percentage of investors who are “bullish” on the market, is significantly negatively related to the subsequent three- and six-month...