New smart beta index using the Rachev ratio under a non-normal return distribution. (4th June 2021)
- Record Type:
- Journal Article
- Title:
- New smart beta index using the Rachev ratio under a non-normal return distribution. (4th June 2021)
- Main Title:
- New smart beta index using the Rachev ratio under a non-normal return distribution
- Authors:
- Yamamoto, Rei
Kawadai, Naoya - Abstract:
- In this paper, we focus on the 'Rachev ratio' proposed by Biglova et al. (2004) and propose a new smart beta index using it. This ratio has demonstrated its effectiveness as a performance measure; however, it is difficult to consider it to be a portfolio tool, particularly due to its non-convexity. Therefore, we propose a simple weighting method to construct a portfolio, transforming it into a new smart beta index. Moreover, we compare its performance with other smart beta indices in the global stock markets. The result of our empirical analysis, corroborate our contention that the proposed smart beta index using the Rachev ratio provides higher performance than other standard smart beta indices. Hence, we conclude that this smart beta is a new effective index that can be used in global stock markets.
- Is Part Of:
- International journal of portfolio analysis & management. Volume 2:Number 3(2021)
- Journal:
- International journal of portfolio analysis & management
- Issue:
- Volume 2:Number 3(2021)
- Issue Display:
- Volume 2, Issue 3 (2021)
- Year:
- 2021
- Volume:
- 2
- Issue:
- 3
- Issue Sort Value:
- 2021-0002-0003-0000
- Page Start:
- 238
- Page End:
- 248
- Publication Date:
- 2021-06-04
- Subjects:
- Rachev ratio -- smart beta -- non-normal distributions -- global markets
Investment analysis -- Periodicals
332.605 - Journal URLs:
- http://www.inderscience.com/ ↗
http://www.inderscience.com/info/inarticletoc.php?jcode=ijpam ↗ - Languages:
- English
- ISSNs:
- 2048-2361
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15662.xml