Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Harry Mamaysky is active.

Publication


Featured researches published by Harry Mamaysky.


Social Science Research Network | 2001

Interest Rates and the Durability of Consumption Goods

Harry Mamaysky

In this article I study an economy with irreversible durable investment and investors who consume a durable and a nondurable good. In a general equilibrium setting, these assumptions lead to endogenous variation in the implied risk aversion of investors and in the term structure of interest rates. In the model, the magnitude of the intertemporal elasticity of substitution places certain restrictions on the joint dynamical behavior of durable consumption, nondurable consumption, and the yield curve. Tests of the model using postwar U.S. data are supportive of these restrictions. However, while the model is able to generate a relatively large term spr


Journal of Banking and Finance | 2018

The Time Horizon of Price Responses to Quantitative Easing

Harry Mamaysky

Studies of how quantitative easing (QE) impacts asset prices typically look for effects in one- or two-day windows around QE announcements. This methodology underestimates the impact of QE on asset classes whose responses happen outside of this short time frame. We document that QE announcements by the Fed, ECB, and the Bank of England are associated with: quick price reactions of medium- and long-term government bonds; but with reactions in equity and equity implied volatility that occur over several weeks. Robustness checks using past monetary policy episodes and the cross-section of US industry returns confirm these results.


National Bureau of Economic Research | 2018

How News and its Context Drive Risk and Returns Around the World

Charles W. Calomiris; Harry Mamaysky

We develop a classification methodology for the context and content of news articles to predict risk and return in stock markets in 51 developed and emerging economies. A parsimonious summary of news, including topic-specific sentiment, frequency, and unusualness (entropy) of word flow, predicts future country-level returns, volatilities, and drawdowns. Economic and statistical significance are high and larger for year-ahead than monthly predictions. The effect of news measures on market outcomes differs by country type and over time. News stories about emerging markets contain more incremental information. Out-of-sample testing confirms the economic value of our approach for forecasting country-level market outcomes.


Journal of Finance | 2000

Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation

Andrew W. Lo; Harry Mamaysky; Jiang Wang


Review of Financial Studies | 2008

Estimating the Dynamics of Mutual Fund Alphas and Betas

Harry Mamaysky; Matthew I. Spiegel; Hong Zhang


Review of Finance | 2007

Improved Forecasting of Mutual Fund Alphas and Betas

Harry Mamaysky; Matthew I. Spiegel; Hong Zhang


Archive | 2001

Data processor for implementing forecasting algorithms

Andrew W. Lo; Harry Mamaysky; Jiang Wang


Journal of Economic Dynamics and Control | 2005

Dynamic Trading Policies With Price Impact

Hua He; Harry Mamaysky


Social Science Research Network | 2001

A Theory of Mutual Funds: Optimal Fund Objectives and Industry Organization

Matthew I. Spiegel; Harry Mamaysky


Social Science Research Network | 2002

A Model For Pricing Stocks and Bonds

Harry Mamaysky

Collaboration


Dive into the Harry Mamaysky's collaboration.

Top Co-Authors

Avatar

Andrew W. Lo

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Jiang Wang

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Charles W. Calomiris

National Bureau of Economic Research

View shared research outputs
Top Co-Authors

Avatar

Hua He

University of California

View shared research outputs
Researchain Logo
Decentralizing Knowledge