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Harry Mamaysky
Harry Mamaysky
Columbia Business School
在 columbia.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Foundations of technical analysis: Computational algorithms, statistical inference, and empirical implementation
AW Lo, H Mamaysky, J Wang
The Journal of Finance 55 (4), 1705-1765, 2000
18612000
Asset prices and trading volume under fixed transactions costs
AW Lo, H Mamaysky, J Wang
Journal of Political Economy 112 (5), 1054-1090, 2004
4322004
Estimating the dynamics of mutual fund alphas and betas
H Mamaysky, M Spiegel, H Zhang
The Review of Financial Studies 21 (1), 233-264, 2008
2902008
How news and its context drive risk and returns around the world
CW Calomiris, H Mamaysky
Journal of Financial Economics 133 (2), 299-336, 2019
2342019
Data processor for implementing forecasting algorithms
AW Lo, H Mamaysky, J Wang
US Patent 7,562,042, 2009
1572009
Improved forecasting of mutual fund alphas and betas
H Mamaysky, M Spiegel, H Zhang
Review of Finance 11 (3), 359-400, 2007
1502007
A theory of mutual funds: Optimal fund objectives and industry organization
H Mamaysky, M Spiegel
Yale School of Management working paper, 2002
1462002
Dynamic trading policies with price impact
H He, H Mamaysky
Journal of Economic Dynamics and Control 29 (5), 891-930, 2005
1392005
Does unusual news forecast market stress
H Mamaysky, P Glasserman
Journal of Financial and Quantitative Analysis 54 (5), 1937-1974, 2016
81*2016
News and Markets in the Time of COVID-19
H Mamaysky
Journal of Financial and Quantitative Analysis, 1-37, 2020
64*2020
The time horizon of price responses to quantitative easing
H Mamaysky
Journal of Banking & Finance 90, 32-49, 2018
50*2018
A model for pricing stocks and bonds
H Mamaysky
Available at SSRN 307203, 2002
392002
Measuring the cost of regulation: A text-based approach
CW Calomiris, H Mamaysky, R Yang
National Bureau of Economic Research, 2020
352020
Monetary policy and exchange rate returns: Time-varying risk regimes
CW Calomiris, H Mamaysky
National Bureau of Economic Research, 2019
282019
Market prices of risk and return predictability in a joint stock-bond pricing model
H Mamaysky
Available at SSRN 294507, 2002
282002
Investor Information Choice with Macro and Micro Information
P Glasserman, H Mamaysky
24*2018
Interest rates and the durability of consumption goods
H Mamaysky
Available at SSRN 283428, 2001
232001
Choosing news topics to explain stock market returns
P Glasserman, K Krstovski, P Laliberte, H Mamaysky
Proceedings of ACM International Conference on AI in Finance, 2020
172020
Time Variation in the News–Returns Relationship
P Glasserman, F Li, H Mamaysky
Journal of Financial and Quantitative Analysis, 1-37, 2019
152019
On the joint pricing of stocks and bonds: Theory and evidence
H Mamaysky
Yale School of Management Working Papers, 2002
152002
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