科学研究

科学研究

学术讲座
当前位置是: 首页 -> 科学研究 -> 学术讲座 -> 正文

Expected Macroeconomic Conditions and Market Risk Premium: Evidence from a Term Structure of Macroeconomic Forecasts

作者: 发布时间:2021-05-25 点击数:
主讲人:Ti Zhou
主讲人简介:

Ti Zhou obtained his PhD in Finance from Hong Kong University of Science and Technology. Currently, he works as an assistant professor at School of Business, Southern University of Science and Technology. His research interests include empirical asset pricing, option pricing, and financial risk management. He teaches undergraduate- and graduate-level courses such as financial derivatives, quantitative investment, and financial econometrics. His research is supported by Shenzhen Science and Technology Innovation Commission.

主持人:Jian Chen
讲座简介:

We construct an expected macroeconomic condition factor from survey-based forecasts of future macroeconomic activities, with the purpose of tracking the equity premium. This macro factor exhibits salient counter-cyclical dynamics, produces an out-of-sample R2 of 3.4% for predicting quarterly stock market excess returns from 1984 to 2018, and dominates a wide array of commonly used macro and financial predictors. Relative to the short-term macro forecasts, the long-term macro forecasts provide incremental information about the time variations of long-horizon equity premiums. A dynamic trading strategy that employs market timing in return and volatility jointly based on the factor can yield a significant and sizable utility gain to a mean-variance investor. Our evidence reveals a direct and tight link between the ex-ante expectation of the macroeconomic condition and the time variation of the equity premium at the business cycle frequency. The driving force of the predictive power stems from a cyclical component of the equity premium that negatively covaries with expected macroeconomic conditions, especially during recessions.

时间:2021-05-25(Tuesday)16:40-18:00
地点:Room N302, Economics Building
讲座语言:English
主办单位:太阳成tyc7111cc、王亚南经济研究院
承办单位:太阳成tyc7111cc、王亚南经济研究院
期数:
联系人信息:
TOP