US Sector Rotation with Five-Factor Fama-French Alphas

Journal of Asset Management, Forthcoming

31 Pages Posted: 29 Nov 2017

See all articles by Sohan Sarwar

Sohan Sarwar

University of Greenwich - Business School

Cesario Mateus

Aalborg University Business School

Natasa Todorovic

City University London - The Business School

Multiple version iconThere are 2 versions of this paper

Date Written: November 25, 2017

Abstract

In this paper we investigate the risk-adjusted performance of US sector portfolios and sector rotation strategy using the alphas from the Fama-French five factor model. We find that five factor model fits better the returns of US sector portfolios than the three factor model, but that significant alphas are still present in all the sectors at some point in time. In the full sample period, 50% of sectors generate significant five-factor alpha. We test if such alpha signifies a true sector out/under-performance by applying simple long-only and long-short sector rotation strategies. Our long-only sector rotation strategy that buys a sector with a positive five-factor alpha generates four times higher Sharpe ratio than the S&P 500 buy-and-hold. If the strategy is adjusted to switch to the risk-free asset in recessions, the Sharpe ratio achieved is ten-fold that of the buy-and-hold. The long-short strategy fares less well.

Keywords: Fama-French Five Factor Model, US Sectors, Performance, Sector Rotation

JEL Classification: G10, G11, G12

Suggested Citation

Sarwar, Sohan and Mateus, Cesario and Todorovic, Natasa, US Sector Rotation with Five-Factor Fama-French Alphas (November 25, 2017). Journal of Asset Management, Forthcoming, Available at SSRN: https://ssrn.com/abstract=3077187

Sohan Sarwar

University of Greenwich - Business School ( email )

United Kingdom

Cesario Mateus (Contact Author)

Aalborg University Business School ( email )

Aalborg
Denmark

Natasa Todorovic

City University London - The Business School ( email )

106 Bunhill Row
London, EC1Y 8TZ
United Kingdom

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
407
Abstract Views
971
Rank
11,094
PlumX Metrics