A quantitative measure for the fairness of network resource distribution was proposed in [1]. This fairness function is widely adopted in network design and management. This paper proposes a new distribution fairness score function. Compared to the fairness function proposed by Jain, Chiu and Hawe,
A new information share measure
✍ Scribed by Donald Lien; Keshab Shrestha
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 159 KB
- Volume
- 29
- Category
- Article
- ISSN
- 0270-7314
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
In this study, we modify the information share (IS) originally proposed by Hasbrouck, J. (1995). The proposed modified information share (MIS) leads to a unique measure of price discovery instead of the upper and lower IS bounds. Performance of MIS is compared with the Hasbrouck IS measure and the Gonzalo–Granger permanent–transitory decomposition (PT/GG)‐based measure using simulations with 1,000 replications applied to the same three examples considered by Hasbrouck, J. (2002). The MIS is found to outperform both Hasbrouck IS measure and PT/GG measure. The empirical application of the MIS to three major stock indices indicates that price discovery takes place mostly in the futures market. Hence, the evidence supports the transaction cost hypothesis as well as the model proposed by Garbade, K. D., and Silber, W. L. (1983). © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:377–395, 2009
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