中文文獻
王嘉隆、詹淑惠,2005,「分類迴歸樹於 S&P500 指數預測之研究」,管理科學研究,第 一屆管理與決策 2005 年學術研討會特刊,141-150。
朱崇維,2007,「應用資料包絡分析法與分析層級程序作為選股決策之探討:以美國網 路股為例」,國立中興大學,碩士論文。李怡芳,2011,「結合 DEMATEL 與 DANP 的方法來探討銀行人員的工作情境對獎勵制 度的評估與改善」,開南大學,碩士論文。李建和,2007,「運用 RSI 技術指標於台灣指數期貨市場價差交易之實證研究」,國立高 雄應用科技大學,碩士論文。林楷模,2011「波動率指數期貨與標準普爾 500 指數成分股之流動性共變」,國立臺灣 大學,碩士論文。林煜城,2010,「S&P500 指數期現貨與 NASDAQ 指數期貨之關聯性及波動外溢與跳躍 現象之探討-GARCH-Jump 模型建立及避險比率與績效評估」,國立臺北大學,碩士 論文。吳川熺,2011,「金融風暴後標準普爾 500 指數於時間序列最適模型之研究」,國立臺北 大學,碩士論文。洪之良,2001,「台美兩地之股價與總體經濟變數關聯性研究」,國立交通大學,碩士論 文。胡宜中、邱榆淨,2005,「使用能力集合擴展決定專案中子系統開發之優先順序」,台大 管理論叢,第 16 卷,第 1 期,21-40。
柯維喬,2011,「美國長短公債期貨價差與股匯、經濟數據之關係研究」,國立中興大學, 碩士論文。唐宇宏,2012,「應用複合多準則決策模式探討產物保險業服務品質績效」,中原大學, 碩士論文。郭信華,2003,「台灣美國股價指數與其總體經濟變數關聯性之研究」,國立高雄第一科 技大學,碩士論文。黃光宇、簡春娟、張廷政、林聖博,2011,「結合灰關聯分析與粗集合以建立股票投資 組合暨買賣時機之決策模型」,計量管理期刊,第 8 卷,第 1 期,25-38。
黃永成,2011,「結合灰關聯分析與粗集合以建立股票投資組合暨買賣時機之決策模型」, 資訊管理學報,第 18 卷,第 1 期,133-153。
黃彥棠,2015,「不同時間長度技術指標對台指期貨報酬之研究:以 KD 指標為例」,國立 臺北大學,碩士論文。陳宗敬,2012,「應用灰關聯分析、遺傳演算法與模糊神經網路預測臺灣股票加權指數 之研究」,義守大學,碩士論文。陳惠莉,2011,「台股報酬與波動動態影響之探討-不同產業類別之分析」,國立台北商 業技術學院,碩士論文。陳盈安,2011,「由 DMI 指標檢測時國指數基金之投資績效」,國立中正大學,碩士論 文。
陳逸穎,2015,「股票投資決策因素之探討-DEMATEL 模型之應用」,朝陽科技大學,碩 士論文。
楊淑真,2010,「標準普爾期貨指數之預測」,國立中興大學,碩士論文。 劉裕仁,2015,「國中畢業生於十二年國教下選擇高中職之關鍵因素—以桃園市為例—」,中原大學,碩士論文。 鄧振源,2012,「多準則決策分析方法與應用」,台北:鼎茂圖書。
英文文獻
Bessembinder, H., Chan, K., and Seguin, P. J. 1996. “An empirical Examination of Information, Differences of Opinion, and Trading Activity.” Journal of Financial Econometrics, Vol. 40, No. 1, 105-134.
Chang, E., Chou, R. Y., and Nelling, E. F. 2000. “Market Volatility and the Demand for
Hedging in Stock Index Futures.” Journal of Futures Markets, Vol. 20, No. 2, 105-125.Deng, J., 1982. “Control Problems of Grey System.” System and Control Letters, Vol. 5, 288-294.
Deng, J., 1989. “Introduction to Grey System Theory.” The Journal of Grey System, Vol. 1, No.1, 1-24.
Engle, R. F. and Granger, C. W. J. 1987. “Co-integration and Error Correction: Representation, Estimation, and Testing.” Econometrica, Vol. 55, No. 2, 251-276.
Granger, C. W. J. and Newbold, P. 1974. “Spurious Regressions in Econometrics.” Journal of Econometrics, Vol. 2, No. 2, 111-120.
Gordon, T. J. and Helmer, O. 1964. Report on a Long-Range Forecasting Study, The Rand Corporation.
Hamilton, J. D. and Lin, G. 1996. “Stock Market Volatility and the Business Cycle.” Journal of Applied Econometrics, Vol. 11, No. 5, 573-593.
Hu, J. W. S., Hu, Y. C., and Yang, T. P. 2016. “Evaluating the Optimum Strategy Developed by Combing Jesse L. Livermore’s Key Price Logic and the D-ANP Methods.” In Proceeding of SBIR 2016 Kuala Lumpur Conference on Interdisciplinary Business Research, Kuala Lumpur.
Hu, Y. C., Chiu, Y. J., Hsu, C. S. and Chang Y. Y. 2015. “Identifying Key Factors of Introducing GPS-based Fleet Management Systems to the Logistics Industry.” Mathematical Problems in Engineering, Vol. 2015, No. 8, 1-14.
Johansen, S. and Juselius, K. 1990. “Maximum Likelihood Estimation and Inference of Economics and Statistics.” Oxford Bulletin of Economics and Statistics, Vol. 52, 169-210.
Koehler, A. B. and Murphree E. S. 1988. “A Comparison of the Akaike and Schwarz Criteria for Selecting Model Order.” Journal of the Royal Statistical Society Series C (Applied Statistics), Vol. 37, No. 2, 187-195.
Kurihara, Y., 2006. “The Relationship between Exchange Rate and Stock Prices during the Quantitative Easing Policy.” International journal of business, Vol. 11, No. 4, 375-386. Kwon, K. Y. and Kish, R. 2002. “Technical Trading Strategies and Return Predictability:
NYSE.” Applied Financial Economics, Vol. 12, No. 9, 639-653.
Liu, S. and Lin, Y. 2006. Grey Information Theory and Practical Applications. London:
Springer-Verlag London Limited.
Mall, M., Pradhan, B. B., and Mishra, P. K. 2011. “The Efficiency of India’s Stock Index Futures Market: An Empirical Analysis Authors.” International Research Journal of Finance and Economics, Vol. 69, 178-184.
Meade, L. M. and Sarkis, J. 1999. “Analyzing Organizational Project Alternatives for Agile Manufacturing Processes: An Analytical Network Approach.” International Journal of Production Research, Vol. 37, No. 2, 241-261.
Michael, T. 2008. “Borda and the Maximum Likelihood Approach to Vote Aggregation.” Mathematical Social Sciences, Vol. 55, No. 1, 96-102.
Poshakwale S. and Patra, T., 2006. “Economic Variables and Stock Returns: Evidence from the Athens Stock Exchange.” Applied Financial Economics, Vol. 16, No. 13, 993-1005.
Ratanapakorn, O. and Sharma, S. C. 2007. “Dynamics Analysis between the US Stock Returnand the Macroeconomics Variables.” Applied Financial Economics, Vol. 17, No.4, 369-377.
Saaty, T. L. 1980. The Analytic Hierarchy Process, New York, NY: McGraw-Hill.
Saaty, T. L. 1996. The Analytic Network Process-Decision Making with Dependence and
Feedback. Pittsburgh, PA: RWS Publications.
Saaty, T. L. 2001. Decision Making with Dependence and Feedback: The Analytic Network
Process, Pittsburg, PA: RWS Publications.
Suganthi, L. and Samuel, A. A. 2012. “Energy Models for Demand Forecasting—A Review.”
Renewable & Sustainable Energy Reviews, Vol. 16, No.2, 1223-1240.
Sun, Q. and Tong, W. H. S. 2000. “The Effect of U.S. Trade Deficit Announcements on the Stock Price of U.S. and Japanese Automakers.” The Journal of Financial Research, Vol.
23, No. 1, 15-43.
Tzeng, G. H. and Huang, J. J. 2011. Multiple Attribute Decision Making: Methods and
Applications. (Eds.), Florida, CRC Press.
Wang, G. H. K. and Yau, J. 2000. “Trading Volume, Bid-Ask Spread, and Price Volatility in
Futures Market.” Journal of Futures Markets, Vol. 20, No. 10, 943-970.
Xu, Z. and Wei, C. 1999. “A Consistency Improving Method in the Analytic Hierarchy
Process.” European Journal of Operational Research, Vol. 116, No.2, 443-449.
Yang, Y. P. O., Shieh, H. M., Leu, J. D., and Tzeng, G. H. 2008. “A Novel Hybrid MCDM Model Combined with DEMATEL and ANP with Applications.” International Journal of
Operations Research, Vol. 5, No. 3, 160-168.