The aim of this paper is to determine whether forward-looking option-implied returns forecasts lead to better out-of-sample portfolio performance than conventional time series models. We consider a simple two-asset setting with a risk-free asset and the S&P 500 index the risky asset with monthly...

GLOBAL FINANCE LIQUIDITY RISK REVISITED: JP Morgan Alternative Assets Portfolio Liquidity Assessment Framework & Models: $500 Billion Fund of Funds: 17 Asset ClassesPresentations atJP Morgan World HQ, 270 Park Ave, Manhattan, NY, USAToJP Morgan Global Head of Quant Research & Analytics, JP...

Investors utility has been mathematically modeled at 1738 by Daniel Bernoulli as an attempt to capture investors preferences to lottery outcomes. Ever since the analysis of decision making under uncertainty has again become a major focus of interest. Kahneman and Tversky in 1979 suggested a more...

Motivated by empirical evidence of the asymmetry in the relationship between equity market return and volatility, where returns and conditional volatility are negatively correlated, we develop an approach that targets constant volatility in equity market portfolios. This volatility timing...

This paper presents a novel approach to asset class allocation which builds upon macroeconomic factors. Without doubt the financial returns of asset classes are interlinked with the economy. However, it is not clear how to bring the finance and economy world together within a portfolio's asset...

In this paper, we construct a pipeline to investigate heuristic diversification strategies in asset allocation. We use machine learning concepts ("explainable AI") to compare the robustness of different strategies and back out implicit rules for decision making.In a first step, we augment the...

Many corporations and financial institutions have recently faced lawsuits in which plaintiffs have alleged harm to 401(k) plan participants by the inclusion of high-fee actively managed mutual funds in plan offerings, instead of low-cost index funds. The goal of our study is to compare the...

This study proposes a method to enhance cryptocurrency portfolio returns constructed by forecast models. We forecast returns on four liquid cryptocurrencies and determine the weights on the cryptocurrencies based upon a dynamic allocation framework. We assess the performances of the portfolios...

This study is the first to consider ``Reuters Global Asset Allocation Poll'' data, which is a monthly survey of recommended global portfolio allocations from many of the world's top investment firms, based in the U.S., UK, Continental Europe, and Japan. We find that balanced portfolio...

This paper highlights the use of a new strategic approach within a quantitative investment methodology in the context of making prudent asset allocation decisions. Three asset classes will frame the dynamic asset allocation discussion: Equities, Fixed Income, and Hedge Funds. The quantitative...