| 研究生: |
林玉堂 Yu-Tang Lin |
|---|---|
| 論文名稱: |
適應性市場假說在標準普爾指數的實證與投資應用 Empirical Evidence and Investing Application of Adaptive Markets Hypothesis in S&P500 |
| 指導教授: | 葉錦徽 |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 財務金融學系 Department of Finance |
| 論文出版年: | 2016 |
| 畢業學年度: | 104 |
| 語文別: | 中文 |
| 論文頁數: | 56 |
| 中文關鍵詞: | 適應性市場假說 、變異數擇時投資 、效率市場假說 、行為財務學 |
| 外文關鍵詞: | Adaptive Market Hypothesis, Efficient Market Hypothesis, Behavioral Finance, Volatility Timing |
| 相關次數: | 點閱:7 下載:0 |
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我們透過對S&P500指數報酬率之波動度建模,利用總體經濟變數因子與情緒因子的代理變數將波動度解構成兩組不同力量驅使的波動度。再藉著比較理性因子與情緒因子所驅動出來的波動度大小之交疊,實證Lo (2004) 提出之適應性市場假說再美國股票市場的適用
性。我們不僅發現S&P500指數報酬率的波動度確實會隨著市場氛圍的轉變而由不同力量驅使,市場情緒高張的時期還會隨時間推移越來越多。在依據市場效率無法藉由新資訊獲得超額報酬的假設,我們建立適應性市場投資組合,當市場呈現理性有效率時,持有三個月到期之政府公債;反之當市場情緒高張時,買進S&P500指數以賺取報酬。根據這樣的策略,長期來看可以獲得超過買進持有指數3.5倍的累積報酬。不僅如此,我們還發現這樣的超額報酬來不被Fama and French (1992) 的三因子模型的公司規模與帳市值比所解釋。我們參考 Lo (2004) 從宏觀經濟的角度實證AMH,並且應用市場適應性建構出投資組合以賺取報酬。
To decompose the volatility of S&P500 index return, we used macroeconomic factors as rational power and sentimental factors as sentimental power. By comparing the crossing of both powers, we documented the fact that the adaptive market hypothesis (AMH), proposed by Lo (2004), is suitable for the US stock market.We found out that the atmosphere of the stock market not only changes periodically, but also that the sentimental power conquers the market more frequently over time. Based on the assumption of ecient market hypothesis (EMH), we formed an investing strategy to take advantages from the adaptive phenomena of stock market. We invested in 3-month T-Bills when the market appeared rational, inversely, we invested in S&P500 index when the market appeared sentimental. The cumulative return of that strategy is 3.5 times higher than the cumulative return of the buy-and-hold index strategy. Moreover, we found out that these outstanding returns could not be explained by the size eect and the BM ratio eect proposed by Fama and French (1992). The main contribution of this paper is that we proved AMH macro-economically by decomposing volatility and proposed a useful strategy based on our decomposition.
[1] Antonakakis, N., Chatziantoniou, I., & Filis, G. (2013). Dynamic co-movements
of stock market returns, implied volatility and policy uncertainty.. Economics
Letters, 120(1), 87-92.
[2] Baker, S. R., Bloom, N., & Davis, S. J. (2015). Measuring economic policy
uncertainty (No. w21633).. National Bureau of Economic Research.
[3] Banerjee, A. V. (1992). A simple model of herd behavior.. The Quarterly
Journal of Economics, 797-817.
[4] Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity..
Journal of econometrics, 31(3), 307-327.
[5] Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity..
Journal of Econometrics, 31(3), 307-327.
[6] Breen, W., Glosten, L. R., & Jagannathan, R. (1989). Economic signicance of
predictable variations in stock index returns.. The Journal of Finance, 44(5),
1177-1189.
[7] Cagan, P. (1958). The demand for currency relative to total money supply.. In
The Demand for Currency Relative to Total Money Supply (pp. 1-37). NBER.
[8] Campbell, J. Y., Lettau, M., Malkiel, B. G., & Xu, Y. (2001). Have individual
stocks become more volatile? An empirical exploration of idiosyncratic risk..
The Journal of Finance, 56(1), 1-43.
[9] Carhart, M. M. (1997). On persistence in mutual fund performance.. The
Journal of nance, 52(1), 57-82.
[10] Caruso, M. (2001). Stock prices and money velocity: A multi-country analysis..
Empirical Economics, 26(4), 651-672.
[11] Diebold, F. X., & Yilmaz, K. (2008). Macroeconomic volatility and stock market
volatility, worldwide.. National Bureau of Economic Research.
[12] Engle, R. F., & Patton, A. J. (2001). What good is a volatility model.. Quan-
titative nance, 1(2), 237-245.
[13] Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates
of the variance of United Kingdom in
ation.. Econometrica: Journal of the
Econometric Society, 987-1007.
[14] Edwards, F. R. (1988). Does futures trading increase stock market volatility?..
Financial Analysts Journal, 44(1), 63-69.
[15] Fama, E. F. (1998). Market eciency, long-term returns, and behavioral -
nance.. Journal of nancial economics, 49(3), 283-306.
[16] Fama, E. F., & French, K. R. (1992). The crosssection of expected stock returns.
. the Journal of Finance, 47(2), 427-465.
[17] Fama, E. F., Fisher, L., Jensen, M. C., & Roll, R. (1969). The adjustment of
stock prices to new information.. International economic review, 10(1), 1-21.
[18] Farmer, J. D., & Lo, A. W. (1999). Frontiers of nance: Evolution and ecient
markets.. Proceedings of the National Academy of Sciences, 96(18), 9991-9992.
[19] Flannery, M. J., & James, C. M. (1984). The eect of interest rate changes on
the common stock returns of nancial institutions.. The Journal of Finance,
39(4), 1141-1153.
[20] Huang, R. D., & Stoll, H. R. (1994). Market microstructure and stock return
predictions.. Review of nancial studies, 7(1), 179-213.
[21] Howrey, E. P. (2001). The predictive power of the index of consumer sentiment..
Brookings papers on economic activity, 2001(1), 175-216.
[22] Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision
under risk.. Econometrica: Journal of the Econometric Society, 263-291.
[23] Lo, A. W. (2004).& Fama, E. F. (1970). The adaptive markets hypothesis:
Market eciency from an evolutionary perspective.. Journal of Portfolio Man-
agement, Forthcoming.
[24] LeRoy, S. F., & Porter, R. D. (1981). The present-value relation: Tests based on
implied variance bounds.. Econometrica: Journal of the Econometric Society,
555-574.
[25] Malkiel, B. G., & Fama, E. F. (1970). Ecient capital markets: A review of
theory and empirical work.. The journal of Finance, 25(2), 383-417.
[26] Metcalf, G. E., & Malkiel, B. G. (1994). The Wall Street Journal contests:
the experts, the darts, and the ecient market hypothesis.. Applied Financial
Economics, 4(5), 371-374.
[27] Neely, C. J., Weller, P. A., & Ulrich, J. M. (2009). The adaptive markets hy-
pothesis: evidence from the foreign exchange market.. Journal of Financial and
Quantitative Analysis, 44(02), 467-488.
[28] Pratt, J. W. (1964). Risk aversion in the small and in the large.. Econometrica:
Journal of the Econometric Society, 122-136.
[29] Pollin, R. (1991). Two theories of money supply endogeneity: some empirical
evidence.. Journal of Post Keynesian Economics, 13(3), 366-396.
[30] Roll, R., & Ross, S. A. (1994). On the crosssectional relation between expected
returns and betas.. The Journal of Finance, 49(1), 101-121.
[31] Roberts, D. S. (1967). Market eciency, long-term returns, and behavioral -
nance.. Journal of nancial economics, 49(3), 283-306.
[32] Samuelson, P. A. (1965). The pathogenic synergy of Fusiformis necrophorus and
Corynebacterium pyogenes. II. The response of F. necrophorus to a lterable
product of C. pyogenes.. British journal of experimental pathology, 48(6), 674.
[33] Stiglitz, J. E., & Weiss, A. (1981). Credit rationing in markets with imperfect
information.. The American economic review, 71(3), 393-410.
[34] Shiller, R. J. (1981). The use of volatility measures in assessing market e-
ciency.. The Journal of Finance, 36(2), 291-304.
[35] Shefrin, H., & Statman, M. (1985). The disposition to sell winners too early
and ride losers too long: Theory and evidence.. The Journal of nance, 40(3),
777-790.
[36] Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging
frequency and probability.. Cognitive psychology, 5(2), 207-232.
[37] Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics
and biases.. science, 185(4157), 1124-1131.
[38] Wei, S. X., & Zhang, C. (2006). Why Did Individual Stocks Become More
Volatile?.. The Journal of Business, 79(1), 259-292.