It is now generally agreed that multiple factors drive asset returns. Their identities, however, remain subject to wide debate, despite a plethora of factor candidates nominated in a voluminous literature. We propose a protocol for sorting them out. Our protocol involves seven empirical stages that successively identify non-risk factors that are not priced, non-risk factors that are (i.e., arbitrage opportunities), risk factors that are not priced, and those that are. Certain principles apply. Factor movements should not be easily predictable. A characteristic such as firm size, or anything else known in advance, cannot be a factor. However, characteristics can be related to mean returns either because they happen to align with factor loadi...
We propose a protocol for identifying genuine risk factors. The underlying premise is that a risk fa...
We study the economic sources of stock–bond return comovements and their time variation using a dyna...
Using monthly returns for over 27,000 stocks from 49 countries over a three-decade pe-riod, we show ...
In this thesis, I test whether the return premia associated with firm characteristics such as value,...
The trade-off between risk and return for equities has long been a challenge for portfolio and risk ...
Different models have tried to improve the Capital Asset Pricing Model (CAPM) findings, on the basis...
Different models have tried to improve the Capital Asset Pricing Model (CAPM) findings, on the basi...
A great deal of the literature in financial economics contains the assumption that returns are a lin...
We study the economic sources of stock-bond return comovements and their time variation using a dyna...
The study challenges the prevailing asset class focus in portfolio allocation by investigating the a...
An important issue in applications of multifactor models of asset returns is the appropriate number ...
Thesis (Ph.D.)--University of Washington, 2018Factor models are used to describe the fundamental dri...
Existing studies find that size, book-to-market, and momentum and liquidity explain the cross-sectio...
The reported number of firm characteristics that predict stock returns is growing at a rapid pace. T...
A key question for understanding the cross-section of expected returns of equities is the following:...
We propose a protocol for identifying genuine risk factors. The underlying premise is that a risk fa...
We study the economic sources of stock–bond return comovements and their time variation using a dyna...
Using monthly returns for over 27,000 stocks from 49 countries over a three-decade pe-riod, we show ...
In this thesis, I test whether the return premia associated with firm characteristics such as value,...
The trade-off between risk and return for equities has long been a challenge for portfolio and risk ...
Different models have tried to improve the Capital Asset Pricing Model (CAPM) findings, on the basis...
Different models have tried to improve the Capital Asset Pricing Model (CAPM) findings, on the basi...
A great deal of the literature in financial economics contains the assumption that returns are a lin...
We study the economic sources of stock-bond return comovements and their time variation using a dyna...
The study challenges the prevailing asset class focus in portfolio allocation by investigating the a...
An important issue in applications of multifactor models of asset returns is the appropriate number ...
Thesis (Ph.D.)--University of Washington, 2018Factor models are used to describe the fundamental dri...
Existing studies find that size, book-to-market, and momentum and liquidity explain the cross-sectio...
The reported number of firm characteristics that predict stock returns is growing at a rapid pace. T...
A key question for understanding the cross-section of expected returns of equities is the following:...
We propose a protocol for identifying genuine risk factors. The underlying premise is that a risk fa...
We study the economic sources of stock–bond return comovements and their time variation using a dyna...
Using monthly returns for over 27,000 stocks from 49 countries over a three-decade pe-riod, we show ...