:::

詳目顯示

回上一頁
題名:獨特風險與短期預期報酬之探討
作者:魏楚芸
作者(外文):Chu-Yun Wei
校院名稱:義守大學
系所名稱:管理碩博士班
指導教授:李建興
學位類別:博士
出版日期:2015
主題關鍵詞:獨特風險投資人情緒政治關聯度恐慌指數idiosyncratic riskinvestor sentimentpolitical connectionVolatility Index (VIX)
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:0
本文主要探討獨特風險與短期預期報酬之關係,以香港主板股票市場為樣本,相對於Ang, Hodrick, Xing 與 Zhang (2006, 2009)與Fu (2009)衡量獨特風險的方法,本文以多因子股票報酬模型、追蹤門檻模型,並增加考量TGARCH來衡量股價下跌之風險,及引用Ang et al. (2009), Fu (2009)與Lee 與 Wei (2012)以EGARCH來衡量獨特風險以考量異質變異數。
結論如下:相對於文獻,本文增加考量分別以投資人情緒與政治關聯度兩個面向探討的獨特風險與短期預期報酬之關係是否會有所不同。實證結果發現有「高VIX時,高獨特風險伴隨低短期預期報酬」與「低VIX時,獨特風險與短期預期報酬無顯著相關」;其次,「高政治關聯度高短期預期報酬」與「高政治關聯度高抗跌優勢」。
上述結論有以下貢獻與意涵:因文獻對於獨特風險與短期預期報酬之關係未有一致性結論,本文增加考量兩個面向後,皆得到獨特風險與短期預期報酬為一致性地正相關,這表示投資人應買進低獨特風險的股票,以賺取未來較高的股票報酬,特別是在四種上市來源、高恐慌指數,與高政治關聯度時,這也意涵投資人情緒,與政治關聯可以做為觀察香港主板股票市場之獨特風險的重要指標。
This paper examines the relation between idiosyncratic risks and expected returns on the main board of Hong Kong stock market. In contrast to the method used by Ang, Hodrick, Xing & Zhang (2006, 2009) and Fu (2009) to measure idiosyncratic risk, this paper adapts the multifactor models to take into consideration the use of the TGARCH model for the leverage effect and the volatility of a fall in the stock price, and also considering EGARCH model by citing Ang et al. (2009), Fu (2009) and Lee & Wei (2012) for robustness.
The findings are as follows: In contrast to literature, this study tries investigating the relation between idiosyncratic risks and expected returns under two contexts, which are “investor sentiment” and “political connection”. First, regarding the “investor sentiment”, there is a significantly negative relation between idiosyncratic risks and expected returns in the high VIX state, and there is insignificant relation between idiosyncratic risks and expected returns in low VIX state. Second, regarding “political connection”, in the low VIX state, the expected returns of high political connection firms will be higher than those for low political connection, and in the high VIX state, the expected returns of high political connection firms will fall less than those for low political connection.
This paper contributes to the existing literature: it gives more powerful evidences because this paper finds there is a positive relation between idiosyncratic risks and expected returns under two contexts. The findings mean the investors should hold the previous stocks with low idiosyncratic risks to earn high expected returns, especially in high VIX state and high political connection. The findings may imply investor sentiment and political connection are important indications on the main board of Hong Kong stock.
References
1.Adhikari, A., Derashid, C., & Zhang, H. (2006). Public policy, political connections, and effective tax rates: longitudinal evidence from Malaysia. Journal of Accounting and Public Policy, 25, 574–595.
2.Ang, A., Hodrick, R. J., Xing, Y., & Zhang, X. (2006). The cross-section of volatility and expected returns. Journal of Finance, 61(1), 259–299.
3.Ang, A., Hodrick, R. J., Xing, Y., & Zhang, X. (2009). High idiosyncratic volatility and low returns: international and further U.S. evidence. Journal of Financial Economics, 91(1), 1–23.
4.Angelidis, T., & Tessaromatis, N. (2009). Idiosyncratic risk matters! A regime switching approach. International Review of Economics and Finance, 18(1), 132–141.
5.Au, A. S., Doukas, J. A., & Z., Onayev. (2009). Daily short interest, idiosyncratic risk, and stock returns. Journal of Financial Markets, 12, 290–316.
6.Baker, M., & Stein, J. (2004). Market liquidity as a sentiment indicator. Journal of Financial Markets, 7, 271–299.
7.Baker, M., & Wurgler, J. (2006). Investor sentiment and the cross-section of stock returns. Journal of Finance, 61, 1645–1680.
8.Baker, M., & Wurgler, J. (2007). Investor sentiment in stock market. Journal of Economic Perspectives, 21 (2), 129–151.
9.Bali, T. G., & Cakici, N. (2008). Idiosyncratic volatility and the cross section of expected returns. Journal of Financial and Quantitative Analysis, 43(1), 29–58.
10.Bali, T. G., Cakici, N., & Lery, H. (2008). A model-independent measure of aggregate idiosyncratic risk. Journal of Empirical Finance, 15(5), 878–896.
11.Bali, T. G., N. Cakici, & R. F. Whitelaw. (2011). Maxing out: stocks as lotteries and the cross-section of expected returns. Journal of Financial Economics, 99, 427–46.
12.Bali, T. G., Cakici, N., Yan, X., & Zhang, Z. (2005). Does idiosyncratic risk really matter? Journal of Finance, 60(2), 905–929.
13.Ben-Rephael, A., Kandel, S., & Wohl, A. (2012). Measuring investor sentiment with mutual fund flows. Journal of Financial Economics, 104, 363–382.
14.Braun, M., & Raddatz, C. (2010). Banking on politics: when former high-ranking politicians become bank directors. The World Bank Economic Review, 24(2), 234–279.
15.Brown, G. W., & Cliff, M. T. (2004). Investor sentiment and the near-term stock market. Journal of Empirical Finance, 11(1), 1–27.
16.Brown, G. W., & Cliff, M. T. (2005). Investor sentiment and asset Valuation. Journal of Business, 78(2), 405–439.
17.Campbell, J. Y., Lettau, M., Malkiel, B. G., & Xu, Y. (2001). Have individual stocks become more volatile? An empirical exploration of idiosyncratic risk. Journal of Finance, 56(1), 1–43.
18.Cao, C., Simin, T., & Zhao, J. (2008). Can growth options explain the trend in idiosyncratic risk? Review of Financial Studies, 21(6), 2599–2633.
19.Carhart, M. M. (1997). On persistence in mutual fund performance. Journal of Finance, 52(1), 57–82.
20.Chan, S. Y., & Fong, W. M. (2004). Individual investors’ sentiment and temporary stock price pressure. Journal of Business Finance and Accounting, 31, 823–836.
21.Chang, E. C., & Dong, S. (2006). Idiosyncratic volatility, fundamentals, and institutional herding: evidence from the Japanese stock market. Pacific-Basin Finance Journal, 14(2), 135–154.
22.Chen, J., Chollete, L., & R. Ray, R. (2010). Financial distress and idiosyncratic volatility: An empirical investigation. Journal of Financial Markets, 13(2), 249–247.
23.Chen, J. P., Ding, Y., & Kim, C. (2010). High-level politically connected firms, corruption, and analyst forecast accuracy around the world. Journal of International Business Studies, 41(9), 1505–1524.
24.Chiu, M. M., & Joh, S. W. (2004). Loans to distressed firms: political connections, related lending, business group affiliations, and bank governance, Chinese university of Hong Kong. Working Paper.
25.Chou, P. H., Chang, Y. C., & Lin, M. C. (2007). Investor sentiment and stock returns in Taiwan. Review of Securities and Futures Markets 19(2), 153–190. (in Chinese). (TSSCI)
26.Cotter, J., O’Sullivan, N., & Rossi. F. (2015). The conditional pricing of systematic and idiosyncratic risk in the UK equity market. International Review of Financial Analysis. 37(15), 184–193.
27.Da, Z., Engelberg, J., & Gao, P. (2015). The sum of all FEARS investor sentiment and asset prices. The Review of Financial Studies. 28(1), 1–32.
28.D’Anne, H. G. (2012). VIX and VIX futures pricing algorithms: Cultivating understanding. Modern Economy, 3 (3), 284-294.
29.Dinc, I. S. (2005). Politicians and banks: Political influences on government-owned banks in emerging markets. Journal of Financial Economics, 77, 453–479.
30.Engle, R., & Ng, V. (1993). Measurement and testing of the impact of news on volatility. Journal of Finance, 48(5), 1749–1778.
31.Faccio, M. (2006). Politically connected firms. American Economic Review, 96(1), 369–386.
32.Faccio, M., & Parsley, D. C. (2009). Sudden deaths: taking stock of geographic ties. Journal of Financial and Quantitative Analysis, Cambridge University Press, 44(3), 683–718.
33.Fama, E. F., & French, K. R. (1993). Common risk Factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3–56.
34.Fama, E. F., & French, K. R. (1998). Value versus growth: the international evidence. Journal of Finance, 53, 1975–1999.
35.Fan, P. H., Wong, T. J., & Zhang, T. (2007). Politically connected CEOs, corporate governance, and post-IPO performance of China’s newly partially privatized firms. Journal of Financial Economics, 84(2), 330–357.
36.Ferguson M. J., Lam, K. C. K., & Lee, G. M. (2002). Voluntary disclosure by state-owned enterprises listed on the stock exchange of Hong Kong. Journal of International Financial Management and Accounting, 13(2), 125–152.
37.Ferguson, T., & Voth, H. J. (2008). Betting on Hitler-the value of political connections in NAZI Germany. Quarterly Journal of Economics, 123, 101–137.
38.Ferreira, M. A., & Laux, P. A. (2007). Corporate governance, idiosyncratic risk, and information flow. Journal of Finance, 62(2), 951–989.
39.Fu, F. (2009). Idiosyncratic risk and cross-section of expected stock returns. Journal of Financial Economics, 91(2), 24–37.
40.Fisher, K. L. & Statman, M. (2000). Cognitive biases in market forecasts. Journal of Portfolio Management, 27(1), 72–81.
41.Francis, B. B., Hasan, I., & Sun, X. (2009). Political connections and the process of going public: Evidence from China. Journal of International Money and Finance, 28(4), 696–719.
42.Gaspar, J., & Massa, M. (2006). Idiosyncratic volatility and product market competition. Journal of Business, 79(6), 3125–3152.
43.Gerlach, R., Obaydin, I., & Zurbruegg, R. (2015). The impact of leverage on the idiosyncratic risk and return relationship of REITs around the financial crisis. International Review of Economics and Finance, 38(15), 207–219.
44.Goldman, R. L., Tallis, H., Kareiva P., & Daily, G. C. (2008). Field evidence that ecosystem service projects support biodiversity and diversify options. Proceedings of the National Academy of Sciences, 105, 9445–9448.
45.Goyal, A., & Santa-Clara, P. (2003). Idiosyncratic volatility matters! Journal of Finance, 58(3), 975–1008.
46.Guo, H., & Savickas, R. (2008). Average idiosyncratic volatility in G7 countries. Review of Financial Studies, 21(3), 1259–1296.
47.Guo, H., & Savickas, R. (2008). Forecasting foreign exchange rates using idiosyncratic volatility. Journal of Banking and Finance, 32(7), 1322–1332.
48.Hirshleifer, D., & Shumway, T. (2003). Good day sunshine: stock returns and the weather. The Journal of Finance, 58, 1009–1032.
49.Huang, Y. L., Shen, C. H., & Lin, K. L. (2011). Political connections and the cost of debt. Journal of Management, 29 (2), 155–185.
50.Jiang, X., & Lee, B. S. (2006). The dynamic relation between returns and idiosyncratic volatility. Financial Management, 35(2), 43–65.
51.Jiang, G., Xu, D., & Yao, T. (2009). The information content of idiosyncratic volatility. Journal of Financial and Quantitative Analysis, 44(1), 1–28.
52.Johnson, S., & Mitton, T. (2003). Cronyism and capital controls: evidence from Malaysia. Journal of Financial Economics, 67(2), 351–82.
53.Kaustia, M., & Knüpfer, S. (2008). Do investors overweight personal experience? Evidence from IPO subscriptions. The Journal of Finance, 63(6), 2679–2702.
54.Khwaja, A. I., & Mian, A. (2005). Do lenders favor politically connected firms? Rent seeking in an emerging financial market. Quarterly Journal of Economics, 120, 1371–1411.
55.Kliger, D., & Kudryavtsev, A. (2013). Volatility expectations and the reaction to analyst recommendations. Journal of Economic Psychology, 37(1), 1–6.
56.Kostovetsky, L. (2011). Political capital and moral hazard. Working paper, University of Rochester.
57.Kroszner, R. S., & Stratmann, T. (1998). Interest group competition and the organization of congress: theory and evidence from financial services’ political action committees. American Economic Review, 88, 1163–87
58.Krueger, A. O. (1974). The political economy of the rent-seeking society. American Economic Review, 64(3), 291–303.
59.Laidroo, L. (2011). Market liquidity and public announcements’ disclosure quality on Tallinn, riga, and Vilnius stock exchanges. Emerging Markets Finance and Trade, 47(4), 54–79.
60.Lee, W. Y., Jiang, C. X., & Indro, D. C. (2002). Stock market volatility, excess returns, and the role of investor sentiment. Journal of Banking and Finance, 26(12), 2277–2299.
61.Lee, J. S & Wei, C. Y. (2012) Types of shares and idiosyncratic risk. Emerging Markets Finance and Trade, 48(5), 68–95, Supplement 3.
62.Lee, J. S, Yen, P. H., & Chen. K. C. (2014). Investor sentiment and investment behavior in the Chinese mutual fund Market. Chinese Economy, 47(1), 38–52.
63.Leuz, C., &Oberholzer-Gee, F. (2006). Political relationships, global financing and corporate transparency: evidence from Indonesia. Journal of Financial Economics, 81, 411–439.
64.Liow, K. H., & Addae-Dapaah, K. (2010). Idiosyncratic risk, market risk and correlation dynamics in the US real Estate investment trusts. Journal of Housing Economics, 19(3), 206–218.
65.Markowitz, H. (1952). Portfolio selection. Journal of Finance, 7(1), 77–91.
66.Marriott, C. (1996). The red chip. Global Finance, 11–13.
67.Merton, R. C. (1987). A simple model of capital market equilibrium with incomplete information. Journal of Finance, 42(3), 483–510.
68.Mok M. K., &Chau, S. M. (2003). Corporate performance of mixed enterprises. Journal of Business Finance and Accounting, 30(3) and (4), 513–538.
69.Mueller, E. (2008). How does owners'' exposure to idiosyncratic risk influence the capital structure of private companies? Journal of Empirical Finance, 15(2), 185–198.
70.Poon P. H., & Fung, H. G. (2000). Red chips or H shares: which China-backed securities process information the fastest? Journal of Multinational Financial Management, 10(6), 315–343.
71.Shleifer, A., & Vishny, R. (1997). The limits of arbitrage. Journal of Finance, 52(1), 35–55.
72.Society for Worldwide Interbank Financial Telecommunication (SWIFT) 2014 report.
73.Treadway, P. (2013). Investing in the age of sovereign defaults: how to preserve your wealth in the coming crisis, Wiley, P.197
74.The Global Competitiveness Report 2013-2014 of World Economic Forum (WEF)
75.Wei, S. X., & Zhang, C. (2005). Idiosyncratic risk does not matter: a re-examination of the relationship between average returns and average volatilities. Journal of Banking and Finance, 29(3), 603–621.
76.Wright, D. W. (1996). Evidence on the Relation between Corporate Governance Characteristics and the Quality of Financial Reporting. Working Paper, University of Michigan.
77.World Federation of Exchanges [WFE] 2011
78.Xu, Y., & Malkiel, B. G. (2003). Investigating the behavior of idiosyncratic volatility. Journal of Business, 76(4), 613–644.
79.Z/Yen Group, 2014. The Global Financial Centres Index 15 (March), City of London.

 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
:::
無相關博士論文
 
無相關書籍
 
無相關著作
 
無相關點閱
 
QR Code
QRCODE