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題名 條件機率交易模型 - 台灣股票市場之實證研究
Conditional probability trading model - empirical research for the stock market of Taiwan.
作者 李培均
Lee, Pei Chun
貢獻者 李桐豪
Lee, Tong Hao
李培均
Lee, Pei Chun
關鍵詞 包寧傑帶狀
動態偏態
回歸均數
Bollinger bands
dynanic skewness
mean reversion
日期 2010
上傳時間 29-九月-2011 16:50:37 (UTC+8)
摘要 該篇文章中提出一個新的交易方式:條件機率交易模型conditional probability trading model。
     這個模型應用了三個主要的基本假設:
     (1)總體經濟因子和股價指數間有相關性。因此可以透過總經指標來衡量股市應有的合理價位。
     (2)股價具有回歸均數的特質。亦即股價一旦過度偏離基本價值,理論上會傾向回復到基本價值之上。
     (3)股價指數相對於基本價值線的距離,將會影響偏態係數的大小。
     
     根據以上三個性質,試圖建構出一個能夠捕捉股價指數變動的模型,並用以進行交易模擬,觀察其是否能獲取正報酬。
The trading strategy, conditional probability trading model(CPTM), is presented in this article. We’ve tried to develop a new trading strategy which is built up by the combination of the properties which includes 1)the relationship between macroeconomic factors and stock market. 2) mean reversion and 3) conditional skewness. The conclusion implies that we may successfully find out a method to combine fundamental and technical analysis, if this method is proved effective. The former hypothesis is assumed that the different level of stock market index may stand for a specific condition of macroeconomic environment. Meanwhile, a better fundamental economic condition could reasonably create a higher stock market index, vice versa. By observing the fundamental value, we can figure out the market ,currently, is over-priced or under-priced. Next, we construct a trading model which is graphed like Bollinger bands. According to specific rules, it provides buying or selling signals. In some special situations, it can also forecast the turning points of the stock market precisely. 3) Skewness also plays a very important role in CPTM, because one of the hypothesis assumes that overpriced /underpriced stock market probably accompanies with left-skewed / right-skewed distribution of daily stock return. The hypothesis of dynamically adjusted skewness implies the concept that over-priced/under-priced stock market has higher propensity to decline/rise. To judge the trading timing is the core value in this model.
參考文獻 Andreas Humpe and Peter Macmillan(2005),Can macroeconomic variables explain long term stock market movements?: A comparison of the US and Japan.
Bai, J., and S. Ng. (2005). Test for skewness, kurtosis and normality for time series data.Journal of Business & Economic Statistics 23, 49–60.
Belaire-Franch, J., and A. Peir´o. (2003). Conditional and unconditional asymmetry in U.S. macroeconomic time series. Studies in Nonlinear Dynamics & Econometrics 7, issue 1, article 4.
Benjamin Graham (1934), Security Analysis.
Balvers, Ronald J., Thomas F. Cosimano, and Bill McDonald, 1990,
Predicting stock returns in an efficient market, Journal of Finance 45,
1109-1128.
Br¨ann¨as K., Nordman N. (2003b). Conditional skewness modelling for stock returns. Applied Economics Letters, 10, 725–728.
Chan, Louis K. C., Narasimhan Jegadeesh, and Josef Lakonishok, 1996, Momentum strategies, Journal of Finance 51, 1681-1713.
Campbell R. Harvey and Akhtar Siddique(2000), Conditional Skewness in Assets Pricing Tests., The Journal of Finance VOL. LV, NO. 3 • JUNE 2000
Campbell R. Harvey and Akhtar Siddique(1999), Autoregressive conditional Skewness, The Journal of Financial and Quantitative Analysis, Vol. 34, No. 4 (Dec., 1999), pp.465-487
Campbell R. Harvey, Akhtar Siddique(1999), Autoregressive Conditional Skewness,
Campbell, J. Y., and L. Hentschel. (1992). No news is good news: an asymmetric model of changing volatility in stock returns. Journal of Financial Economics 31, 281–318.
Cecchetti, Stephen, Pok-Sang Lam, and Nelson Mark, 1990, Mean reversion in equilibrium asset prices, American Economic Review 80, 398-418.
Chen, J., H. Hong, and J. C. Stein. (2001). Forecasting crashes: trading volume, past returns and conditional skewness in stock prices. Journal of Financial Economics 61,345–381.
Chopra, Navin, Josef Lakonishok, and Jay R. Ritter, 1992, Measuring abnormal performance: Do stocks overreact?, Journal of Financial Economics 31, 235-268.
Conrad, Jennifer, and Gautam Kaul(1993), Long-term market overreaction or biases in computed returns?, Journal of Finance 48, 39-64.
DeBondt, Werner, and Richard Thaler(1985), Does the stock market overreact?, Journal of Finance 40, 793-805.
Fama, Eugene(1981), Stock returns , real activity, inflation and money, American Economic Review: 71:545-65
Fama, E. F. & Schwert, G. W. (1977). Asset returns and inflation., Journal of Financial Economics, 5, 115-146.
Fama, Eugene, and Kenneth French, 1988a, Permanent and temporary components of stock prices, Journal of Political Economy 96, 246-273.
Flannery, M. J. & Protopapadakis, A. A. (2002). Macroeconomic factors do influence aggregate stock returns., The Review of Financial Studies, 15, 3, 751-782.
Hueng, C. J., and J. B. McDonald. (2005). Forecasting asymmetries in aggregate stock market returns: evidence from conditional skewness. Journal of Empirical Finance 12,666–685.
Jarque, Carlos M., and Anil K. Bera, 1980, Efficient tests for normality, heteroskedasticity and serial independence of regression residuals, Economics Letters 6, 255-259.
Jegadeesh, Narasimhan, and Sheridan Titman, 1993, Returns to buying winners and selling losers: Implications for stock market efficiency, Journal of Finance 48, 65-91.
Mark J. Flannery and Aris A. Protopapadakis (2002),Macroeconomic Factors Do Influence Aggregate Stock Returns.
Mansor H. Ibrahim and Wan Sulaiman Wan Yusoff(2001), Macroeconomic Variables, Exchange Rate and stock price: a Malaysian perspective. IIUM Journal of Economics and Management.
Nicolas Darvas(2007), How I made 2,000,000 in the stock market, Lightning source Inc., ISBN: 9562914534
Serkan Yilmaz Kandir(2008), Economic Variables, Firm Characteristics and Stock Returns: Evidence from Turkey , International Research Journal of Finance and Economics.
S. Chancharat, A. Valadkhani, C. Harvie(2007), The Influence of International Stock Markets and Macroeconomic Variables on the Thai Stock Market.
John Bollinger(2002), Bollinger on Bollinger Bands,McGraw-Hill Companies, Inc. ISBN: 978-0-07-137368-5
Kim, Myung Jig, Charles R. Nelson, and Richard Startz, 1991, Mean reversion in stock prices? A reappraisal of the empirical evidence, Review of Economic Studies 58, 515-528.
Robert D. Gay(2008), Effect Of Macroeconomic Variables On Stock Market Returns For Four Emerging Economies: Brazil, Russia, India, And China, International Business & Economics Research Journal – March 2008 Volume 7, Number 3
Ronald Balvers, Yangru Wu and Erik Gilliland(2000), Mean Reversion across National Stock Markets and parametric contrarian Investment Strategies , The Journal of Finance, Vol. 55, No. 2 (Apr., 2000), pp. 745-772
Nai-Fu Chen, Richard Roll, Stephan A. Ross(1986), Economic forces and the stock market, The Journal of Business, Vol. 59, No. 3 (Jul., 1986), pp. 383-403
Oliver Douglas Williams(2006), Empirical Optimization of Bollinger Bands for Profitability
Chinese Essays中文論文
吳慶忠(2005),金融與總體經濟變數對股票報酬之影響—Linear
英文部分和STARX模型之比較分析,中原大學國際貿易學系
Kai-Li Wang王凱立,Jai-Hui Lin林嘉慧(), A new parameter approach to modeling generalized autoregressive conditional density model at higher order moments.條件高階動差於財務金融市場之應用
描述 碩士
國立政治大學
金融研究所
98352017
99
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0098352017
資料類型 thesis
dc.contributor.advisor 李桐豪zh_TW
dc.contributor.advisor Lee, Tong Haoen_US
dc.contributor.author (作者) 李培均zh_TW
dc.contributor.author (作者) Lee, Pei Chunen_US
dc.creator (作者) 李培均zh_TW
dc.creator (作者) Lee, Pei Chunen_US
dc.date (日期) 2010en_US
dc.date.accessioned 29-九月-2011 16:50:37 (UTC+8)-
dc.date.available 29-九月-2011 16:50:37 (UTC+8)-
dc.date.issued (上傳時間) 29-九月-2011 16:50:37 (UTC+8)-
dc.identifier (其他 識別碼) G0098352017en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/50849-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 金融研究所zh_TW
dc.description (描述) 98352017zh_TW
dc.description (描述) 99zh_TW
dc.description.abstract (摘要) 該篇文章中提出一個新的交易方式:條件機率交易模型conditional probability trading model。
     這個模型應用了三個主要的基本假設:
     (1)總體經濟因子和股價指數間有相關性。因此可以透過總經指標來衡量股市應有的合理價位。
     (2)股價具有回歸均數的特質。亦即股價一旦過度偏離基本價值,理論上會傾向回復到基本價值之上。
     (3)股價指數相對於基本價值線的距離,將會影響偏態係數的大小。
     
     根據以上三個性質,試圖建構出一個能夠捕捉股價指數變動的模型,並用以進行交易模擬,觀察其是否能獲取正報酬。
zh_TW
dc.description.abstract (摘要) The trading strategy, conditional probability trading model(CPTM), is presented in this article. We’ve tried to develop a new trading strategy which is built up by the combination of the properties which includes 1)the relationship between macroeconomic factors and stock market. 2) mean reversion and 3) conditional skewness. The conclusion implies that we may successfully find out a method to combine fundamental and technical analysis, if this method is proved effective. The former hypothesis is assumed that the different level of stock market index may stand for a specific condition of macroeconomic environment. Meanwhile, a better fundamental economic condition could reasonably create a higher stock market index, vice versa. By observing the fundamental value, we can figure out the market ,currently, is over-priced or under-priced. Next, we construct a trading model which is graphed like Bollinger bands. According to specific rules, it provides buying or selling signals. In some special situations, it can also forecast the turning points of the stock market precisely. 3) Skewness also plays a very important role in CPTM, because one of the hypothesis assumes that overpriced /underpriced stock market probably accompanies with left-skewed / right-skewed distribution of daily stock return. The hypothesis of dynamically adjusted skewness implies the concept that over-priced/under-priced stock market has higher propensity to decline/rise. To judge the trading timing is the core value in this model.en_US
dc.description.tableofcontents 1. Acknowledgement ……………………………………………………………………………………………. 4
     2. Abstract …………………………………………………………………………………………………………. 5
     3. Introduction ……………………………………………………………………………………………………… 6
     4. Literature review
     4.1 The Relationship Between Macroeconomic Factors and Stock Market. 13
     4.2 Mean reversion of Fundamental Value Line………………………………………….15
     4.3 Conditional Skewness …..…………………………….…………………….………………. 15
     5. Data Illustration ………………………………………………………………………………………………. 16
     6. Methodology ………………………………………………………………………………………………….. 19
     7. Reference ……………………………………………………………………………………………………….. 28
     8. Appendix
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0098352017en_US
dc.subject (關鍵詞) 包寧傑帶狀zh_TW
dc.subject (關鍵詞) 動態偏態zh_TW
dc.subject (關鍵詞) 回歸均數zh_TW
dc.subject (關鍵詞) Bollinger bandsen_US
dc.subject (關鍵詞) dynanic skewnessen_US
dc.subject (關鍵詞) mean reversionen_US
dc.title (題名) 條件機率交易模型 - 台灣股票市場之實證研究zh_TW
dc.title (題名) Conditional probability trading model - empirical research for the stock market of Taiwan.en_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) Andreas Humpe and Peter Macmillan(2005),Can macroeconomic variables explain long term stock market movements?: A comparison of the US and Japan.zh_TW
dc.relation.reference (參考文獻) Bai, J., and S. Ng. (2005). Test for skewness, kurtosis and normality for time series data.Journal of Business & Economic Statistics 23, 49–60.zh_TW
dc.relation.reference (參考文獻) Belaire-Franch, J., and A. Peir´o. (2003). Conditional and unconditional asymmetry in U.S. macroeconomic time series. Studies in Nonlinear Dynamics & Econometrics 7, issue 1, article 4.zh_TW
dc.relation.reference (參考文獻) Benjamin Graham (1934), Security Analysis.zh_TW
dc.relation.reference (參考文獻) Balvers, Ronald J., Thomas F. Cosimano, and Bill McDonald, 1990,zh_TW
dc.relation.reference (參考文獻) Predicting stock returns in an efficient market, Journal of Finance 45,zh_TW
dc.relation.reference (參考文獻) 1109-1128.zh_TW
dc.relation.reference (參考文獻) Br¨ann¨as K., Nordman N. (2003b). Conditional skewness modelling for stock returns. Applied Economics Letters, 10, 725–728.zh_TW
dc.relation.reference (參考文獻) Chan, Louis K. C., Narasimhan Jegadeesh, and Josef Lakonishok, 1996, Momentum strategies, Journal of Finance 51, 1681-1713.zh_TW
dc.relation.reference (參考文獻) Campbell R. Harvey and Akhtar Siddique(2000), Conditional Skewness in Assets Pricing Tests., The Journal of Finance VOL. LV, NO. 3 • JUNE 2000zh_TW
dc.relation.reference (參考文獻) Campbell R. Harvey and Akhtar Siddique(1999), Autoregressive conditional Skewness, The Journal of Financial and Quantitative Analysis, Vol. 34, No. 4 (Dec., 1999), pp.465-487zh_TW
dc.relation.reference (參考文獻) Campbell R. Harvey, Akhtar Siddique(1999), Autoregressive Conditional Skewness,zh_TW
dc.relation.reference (參考文獻) Campbell, J. Y., and L. Hentschel. (1992). No news is good news: an asymmetric model of changing volatility in stock returns. Journal of Financial Economics 31, 281–318.zh_TW
dc.relation.reference (參考文獻) Cecchetti, Stephen, Pok-Sang Lam, and Nelson Mark, 1990, Mean reversion in equilibrium asset prices, American Economic Review 80, 398-418.zh_TW
dc.relation.reference (參考文獻) Chen, J., H. Hong, and J. C. Stein. (2001). Forecasting crashes: trading volume, past returns and conditional skewness in stock prices. Journal of Financial Economics 61,345–381.zh_TW
dc.relation.reference (參考文獻) Chopra, Navin, Josef Lakonishok, and Jay R. Ritter, 1992, Measuring abnormal performance: Do stocks overreact?, Journal of Financial Economics 31, 235-268.zh_TW
dc.relation.reference (參考文獻) Conrad, Jennifer, and Gautam Kaul(1993), Long-term market overreaction or biases in computed returns?, Journal of Finance 48, 39-64.zh_TW
dc.relation.reference (參考文獻) DeBondt, Werner, and Richard Thaler(1985), Does the stock market overreact?, Journal of Finance 40, 793-805.zh_TW
dc.relation.reference (參考文獻) Fama, Eugene(1981), Stock returns , real activity, inflation and money, American Economic Review: 71:545-65zh_TW
dc.relation.reference (參考文獻) Fama, E. F. & Schwert, G. W. (1977). Asset returns and inflation., Journal of Financial Economics, 5, 115-146.zh_TW
dc.relation.reference (參考文獻) Fama, Eugene, and Kenneth French, 1988a, Permanent and temporary components of stock prices, Journal of Political Economy 96, 246-273.zh_TW
dc.relation.reference (參考文獻) Flannery, M. J. & Protopapadakis, A. A. (2002). Macroeconomic factors do influence aggregate stock returns., The Review of Financial Studies, 15, 3, 751-782.zh_TW
dc.relation.reference (參考文獻) Hueng, C. J., and J. B. McDonald. (2005). Forecasting asymmetries in aggregate stock market returns: evidence from conditional skewness. Journal of Empirical Finance 12,666–685.zh_TW
dc.relation.reference (參考文獻) Jarque, Carlos M., and Anil K. Bera, 1980, Efficient tests for normality, heteroskedasticity and serial independence of regression residuals, Economics Letters 6, 255-259.zh_TW
dc.relation.reference (參考文獻) Jegadeesh, Narasimhan, and Sheridan Titman, 1993, Returns to buying winners and selling losers: Implications for stock market efficiency, Journal of Finance 48, 65-91.zh_TW
dc.relation.reference (參考文獻) Mark J. Flannery and Aris A. Protopapadakis (2002),Macroeconomic Factors Do Influence Aggregate Stock Returns.zh_TW
dc.relation.reference (參考文獻) Mansor H. Ibrahim and Wan Sulaiman Wan Yusoff(2001), Macroeconomic Variables, Exchange Rate and stock price: a Malaysian perspective. IIUM Journal of Economics and Management.zh_TW
dc.relation.reference (參考文獻) Nicolas Darvas(2007), How I made 2,000,000 in the stock market, Lightning source Inc., ISBN: 9562914534zh_TW
dc.relation.reference (參考文獻) Serkan Yilmaz Kandir(2008), Economic Variables, Firm Characteristics and Stock Returns: Evidence from Turkey , International Research Journal of Finance and Economics.zh_TW
dc.relation.reference (參考文獻) S. Chancharat, A. Valadkhani, C. Harvie(2007), The Influence of International Stock Markets and Macroeconomic Variables on the Thai Stock Market.zh_TW
dc.relation.reference (參考文獻) John Bollinger(2002), Bollinger on Bollinger Bands,McGraw-Hill Companies, Inc. ISBN: 978-0-07-137368-5zh_TW
dc.relation.reference (參考文獻) Kim, Myung Jig, Charles R. Nelson, and Richard Startz, 1991, Mean reversion in stock prices? A reappraisal of the empirical evidence, Review of Economic Studies 58, 515-528.zh_TW
dc.relation.reference (參考文獻) Robert D. Gay(2008), Effect Of Macroeconomic Variables On Stock Market Returns For Four Emerging Economies: Brazil, Russia, India, And China, International Business & Economics Research Journal – March 2008 Volume 7, Number 3zh_TW
dc.relation.reference (參考文獻) Ronald Balvers, Yangru Wu and Erik Gilliland(2000), Mean Reversion across National Stock Markets and parametric contrarian Investment Strategies , The Journal of Finance, Vol. 55, No. 2 (Apr., 2000), pp. 745-772zh_TW
dc.relation.reference (參考文獻) Nai-Fu Chen, Richard Roll, Stephan A. Ross(1986), Economic forces and the stock market, The Journal of Business, Vol. 59, No. 3 (Jul., 1986), pp. 383-403zh_TW
dc.relation.reference (參考文獻) Oliver Douglas Williams(2006), Empirical Optimization of Bollinger Bands for Profitabilityzh_TW
dc.relation.reference (參考文獻) Chinese Essays中文論文zh_TW
dc.relation.reference (參考文獻) 吳慶忠(2005),金融與總體經濟變數對股票報酬之影響—Linearzh_TW
dc.relation.reference (參考文獻) 英文部分和STARX模型之比較分析,中原大學國際貿易學系zh_TW
dc.relation.reference (參考文獻) Kai-Li Wang王凱立,Jai-Hui Lin林嘉慧(), A new parameter approach to modeling generalized autoregressive conditional density model at higher order moments.條件高階動差於財務金融市場之應用zh_TW