Author: Lui, Chi-keung Evans
Title: Empirical analysis on the relationship between implied volatility and realized volatility in Hong Kong and Japan
Degree: D.B.A.
Year: 2006
Subject: Hong Kong Polytechnic University -- Dissertations.
Options (Finance) -- China -- Hong Kong.
Options (Finance) -- Japan.
Stock options -- China -- Hong Kong.
Stock options -- Japan.
Department: Graduate School of Business
Pages: 161 leaves : ill. ; 30 cm.
Language: English
Abstract: Return and risk are the two most important topics in any financial theory. Volatility is one of the most important measures of risk in virtually every asset class, such as stocks, bonds, foreign currency and commodities. With the exponential growth of the option market, which is considered the market for volatility, volatility itself becomes another asset class. Therefore, forecasting volatility is becoming more and more important, not just in terms of its fundamental relationship with return, as precision in predicting volatility can itself bear important return implications. A wide body of literature in the field of volatility forecasting seems to paint a mixed picture on whether historical data or implied volatility from the option market do a better job in forecasting actual volatility. By employing both over-the-counter (OTC) and exchange-traded option data and various volatility forecast models derived from historical data, this study investigates the efficiency of both the Hong Kong and Japanese option markets. As well as considering the index option markets, the stock option markets of Hong Kong and Japan are also studied. Moreover, both the Hong Kong and Japanese index option markets are then compared with the US index option market in terms of their predictive power of future volatility. Finally, both overlapping sampling procedures and GARCH (1,1) models are employed as the robust tests to crosscheck the efficiency results for both the Hong Kong and Japanese index option markets. In general, both the Hong Kong and Japanese index option markets are found to be efficient in the sense that the option data carry more useful information than historical data in terms of forecasting the future volatility. However, implied volatility in both markets is found to be a biased estimator for future volatility. It is also found that OTC and exchange-traded implied volatilities in both Hong Kong and Japan are of similar predictive power. When it comes to stock options, this study only finds Hong Kong's stock option market to be efficient, while Japan's is not. In addition, both Asian option markets seem to be less efficient their US counterpart. This study adds to the knowledge base in the field of volatility forecasting literature as this is the first study to employ OTC index options data. Moreover, this study is also the first of its kind to empirically explore the Hong Kong and Japanese option markets' efficiency. Our findings suggest that both Hong Kong and Japanese index options markets have reached an efficiency level which is comparable to those in advanced markets like US. However, the stock option market in Japan seems inefficient.
Rights: All rights reserved
Access: restricted access

Files in This Item:
File Description SizeFormat 
b20661411.pdfFor All Users (off-campus access for PolyU Staff & Students only)14.67 MBAdobe PDFView/Open


Copyright Undertaking

As a bona fide Library user, I declare that:

  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.

By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.

Show full item record

Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/358