نتایج جستجو برای: fama french five factor model

تعداد نتایج: 3170742  

Journal: :International Journal of Economics and Finance 2012

2002
Joseph Chen

Jegadeesh and Titman (1993) document individual stock momentum: strategies that buy stocks that have performed relatively well in the past and sell stocks that have performed relatively poorly in the past generate significant positive returns over the 3to 12-month horizon. This finding, obtained using data from the U.S. market, also holds for a number of international markets [e.g., Haugen and ...

Journal: :International Review of Financial Analysis 2023

The redesign of asset pricing models failed to integrate the frequent financial phenomenon that stock markets exhibit a non-linear long- and short-term memory structure. difficulty lies in developing nonlinear structure capable depicting influence variable. This paper presents Long- Short-Term Memory Neural Network Model (LSTM) capture among five elements Chinese market, including market portfo...

2016
Lee Gao

This paper establishes an econometric framework to construct a systematic risk factor from textual data, by linking a beta pricing model with a language model based on machine learning techniques. In this framework, the distributions of stock returns and words in associated documents are determined by a common underlying systematic risk factor (text-implied risk). The exposure to the text-impli...

2010
Yoosoon Chang Hwagyun Kim Joon Y. Park

This paper develops a new framework and tools, and reexamines Fama-French regressions. For Fama-French portfolios, we consider a continuous-time factor model with a specific error component structure implied by the underlying asset pricing theory. The model is then analyzed as a continuous-time multivariate regression with a general martingale differential error, allowing for time-varying and s...

Journal: :Advances in economics, business and management research 2022

2015
Lee Gao

This paper establishes an econometric framework to construct a systematic risk factor from textual data, by linking a beta pricing model with a language model based on machine learning techniques. In this framework, the distributions of stock returns and words in associated documents are determined by a common underlying systematic risk factor (text-implied risk). The exposure to the text-impli...

2009
Kateryna Shapovalova Alexander Subbotin

It is a common wisdom that individual stocks’ returns are difficult to predict, though in many situations it is important to have such estimates at our disposal. In particular, they are needed to determine the cost of capital. Market equilibrium models posit that expected returns are proportional to the sensitivities to systematic risk factors. Fama and French (1993) three-factor model explains...

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