Empirical Asset Pricing
A special issue of Journal of Risk and Financial Management (ISSN 1911-8074). This special issue belongs to the section "Economics and Finance".
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 44236
Special Issue Editor
Special Issue Information
Dear Colleagues,
JRFM is currently accepting submissions for a Special Issue on “Empirical Asset Pricing”, with special emphasis on emerging markets and frontier markets.
The main goal of this Special Issue of JRFM is to encourage comparative studies that deepen our knowledge of empirical asset pricing by focusing on emerging and frontier markets. Over the past two decades, emerging economies assumed a significant role in global markets. This makes a Special Issue of comparative studies with a focus on emerging and frontier markets timely and important. We seek papers that shed light on new knowledge to enrich the literature on empirical asset pricing. We invite submissions in all areas of empirical asset pricing. Priority will be given to empirical papers related to emerging and frontier markets.
Prof. Dr. Nusret Cakici
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Keywords
- Empirical asset pricing and cross section of stock returns
- Factor investing (smart beta)
- Frontier markets
- Emerging markets
- volatility modelling
- high-frequency financial econometrics
- empirical market microstructure
- risk management
- extreme event modelling
- credit risk
- pricing anomalies
- liquidity
- portfolio selection in equity and bond markets
- asset pricing predictability
- etc.
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