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題名 有限理性與彈性迷思
Bounded Rationality and the Elasticity Puzzle
作者 王仁甫
Wang,Jen Fu
貢獻者 陳樹衡
Chen,S.-H
王仁甫
Wang,Jen Fu
關鍵詞 跨期替代彈性
風險趨避係數
基因演算法
一般化動差法
一般化最小平方法
the elasticity of intertemporal substitution
RRA
GMM
GLS
Genetic Algorithms
日期 2005
上傳時間 18-Sep-2009 16:05:07 (UTC+8)
摘要 在總體經濟學中,跨期替代分析方法佔有相當重要的地位。其中跨期替代彈性(the
elasticity of intertemporal substitution, EIS)的大小,間接或者直接影響總體經濟中的許多層面,直覺上,例如跨期替代彈性越大,對個人而言,是對當期消費的機會成本提升,使延後消費的意願上升,同時增加個人儲蓄,在正常金融市場情況之下,個人儲蓄金額的增加,將使市場資金的供給量增多,使得企業或個人的投資機會成本降低,經由總體經濟中間接或直接的影響下,則總體經濟成長率應會上升。其中,當消費者效用函數為固定風險趨避係數(constant coefficient of relative risk aversion, CRRA)且具有跨期分割與可加性的特性,加上在傳統經濟學中,假設每個人皆為完全理性的前提下,經由跨期替代分析方法推導後,可以得到相對風險趨避係數(the coefficient of relative risk aversion, RRA)與跨期替代彈性(the elasticity of intertemporal substitution, EIS)恰好是倒數關係。

在過去相關研究中,Hansen and Singleton (1983)推估出跨期替代彈性值較大且顯著,但Hall (1988)強調,若考慮資料的時間加總問題(time aggregation problem),
則前者估計出跨期替代彈性在統計上則不再是顯著;Hall亦於結論提出跨期替代彈性為小於或等於0.1,甚至比0小。在經濟意義上,代表股票市場中投資人的相對風險趨避程度(RRA)極大,直覺上,是不合理的現象,這也是著名的彈性迷思(elasticity puzzle)。於是Epstein and Zin (1991)嘗試建議並修正效用函數為不具時間分割性(non-time separable utility)的效用函數,並得到跨期替代彈性(EIS)與相對風險趨避係數(RRA)互為倒數關係,不復存在的結論。這也說明影響彈性迷思(elasticity puzzle)的原因有許多,其中之一,可能為設定不同形式效用函數所造成。

在傳統經濟模型中,假設完全理性的個人決策行為之下,利用跨期替代方法,可以得到跨期替代彈性(EIS)與相對風險趨避程度(RRA)互為倒數關係後,又得到隱含風險趨避程度為無窮大的推估結論。這也是本研究想要來探究的問題,即是彈性迷思(elasticity puzzle)究竟是假設所造成,或者是因為由個體資料加總成總體資料,所產生的謬誤。

因此,本研究與其他研究不同之處,在於利用建構時間可分離形式的效用函數(time-separable utility)模型基礎,以遺傳演算(Genetic Algorithms)方法,建構有限理性的人工股票市場進行模擬,其中,模擬方式為設定不同代理人(agent)有不同程度的預測能力,代表其理性程度的差異的表現。

本研究發現在有限理性異質性個人的人工股票市場下,相對風險趨避程度係數(RRA)與跨期替代彈性(EIS)不為倒數關係,且設定不同代理人不同的預測能力,亦會影響跨期替代彈性(EIS)的推估數值大小。
參考文獻 [1] Adriarez, F., N. Carrasquero and C. Rocco (2003),“Numerical
Solutions to a Stochastic Growth Model Based on the Evolution
of a Radial Basis Network,” in S.-H. Chen and P. P. Wang (ed.),
Computational Intelligence in Economics and Finance, Springer,
pp. 348-357.
[2] Adriaens, H., B. Donkers and B. Melenberg (2004), “Extending
the CAPM model,” presented at the 10th International Conference
of the Society for Computational Economics: Computing in
Economics and Finance, University of Amsterdam, Amsterdam,
the Netherland.
[3] Arrow, K.J. (1971),Essays in the Theory of Risk Bearing,
Chicago:Markham.
[4] Attanasio, O. P. and M. Browning (1995), “Consumption over
the Life Cycle and over the Business Cycle,” American Economic
Review, Vol. 85, No. 5, pp. 1118-1137.
[5] Attanasio, O. P. and G. Weber (1989), “Intertemporal Substitution,
Risk Aversion and the Euler Equation for Consumption,”
Economic Journal, Vol. 99, pp. 59-73.
[6] Attanasio, O. P., J. Banks and S. Tanner (2002), “Assets Holding
and Consumption Volatility,”Journal of Political Economy, Vol.
110, pp. 771-792.
[7] Barro,R.J. and X. Sala-I-Martin (1995) Economic Growth, New
York:McGraw Hill Press.
[8] Blume, L. and D. Easley (1992), “Evolution and Market Behavior,”
Journal of Economic Theory, Vol. 58, pp. 9-40.
[9] Blume, L. and D. Easley (2004), “If You’re So Smart, Why Aren’t
You Rich? Belief Selection in Complete and Incomplete Markets,”
working paper.
[10] Blundell, R., M. Browning and C. Meghir (1994), “Consumer Demand
and the Life-Cycle Allocation of Household Expenditure,”
The Review of Economic Studies, Vol. 61, No. 1, pp. 57-80.
[11] B.ohm, V. and J. Wenzelburger (2004), “On the Performance
of Efficient Portfolio,” presented at The 10th International Conference
of Computing in Economics and Finance, University of
Amsterdam, Amsterdam, the Netherland.
[12] Breeden, D. T. (1979), “An Intertemporal Asset Pricing Model
with Stochastic Consumption and Investment Opportunities,”
Journal of Financial Economics, Vol. 7, pp. 265-296.
[13] Brock, W. A. and C. H. Hommes (1998), “Heterogeneous beliefs
and routes to chaos in a simple asset pricing model,” Journal of
Economic Dynamics and Control, Vol. 22, pp. 1235-1274.
[14] Bullard, J. and J. Duffy (1999), “Using Genetic Algorithms to
Model the Evolution of Heterogenous Beliefs,” Computational
Economics Vol. 13, No. 1, pp. 41-60.
[15] Caldarelli, G., M. Piccioni and E. Sciubba (2002), “A Numerical
Study on the Evolution of Portfolio Rules,” in S.-H. Chen (ed.),
Genetic Algorithms and Genetic Programming in Computational
Finance, Kluwer, pp. 379-395.
[16] Campbell, J. Y. (2003), “Consumption-Based Asset Pricing,”
(chapter 13, pp. 801-885), in Constantinides, G. M., Harris, M.
and Stulz, R. M. (Eds.), Handbook of the Economics of Finance,
Vol. 1B (Amsterdam: Elsevier, 2003)
[17] Campbell, J.Y. and J.H. Cochrane (1999), “By force of habit: A
consumption-based explanation of aggregate stock market behavior,”
Journal of Political Economy, Vol. 107,pp. 205-251.
[18] Campbell, J. Y. and N. G. Mankiw (1989), “Consumption, Income,
and Interest Rates: Reinterpreting the time series evidence,”
NBER working paper n. 2924.
[19] Carroll, C. D. (1997), “Buffer-Stock Saving and the Life Cycle/
Permanent Income Hypothesis,”Quarterly Journal of Economics,
Vol. 112, pp. 1-55.
[20] Chen, S.-H. and C.-H. Yeh (2001), “Evolving Traders and the
Business School with Genetic Programming: A New Architecture
of the Agent-Based Artificial Stock Market,” Journal of Economic
Dynamics and Control, Vol. 25, pp. 363-393.
[21] Chen, S.-H. and C.-H. Yeh (2002), “On the Emergent Properties
of Artificial Stock Markets,”Journal of Economic Behavior and
Organization, Vol. 49, pp. 217-229.
[22] Chen, S.-H. and C.-C. Liao (2003), “Behavioral Finance and
Agent-Based Computational Finance: Toward an Integrating
Framework,” in K. Chen et al. (eds.), Proceedings of 7th Information
Sciences, September 26-30, 2003, Cary, North Carolina,
U.S.A., pp. 1235-1238.
[23] Chen, S.-H. and Y.-C. Huang (2004), “Risk Preference, Forecasting
Accuracy and Survival Dynamics: Simulations Based on a
Multi-Asset Agent-Based Artificial Stock Market,” submitted to
Journal of Economic Behavior and Organization.
[24] Chen, S.-H. and C.-C. Liao (2004),“Agent-Based Computational
Modeling of the Stock Price-Volume Relation,” Information Sciences,
forthcoming.
[25] Chiarella, C. and X. He (2002), “Heterogeneous Beliefs, Risk and
Learning in a Simple Asset Pricing Model,” Computational Economics,
Vol. 19, No. 1, pp. 95-132.
[26] Chiarella, C. and X. He (2003a), “Dynamics of beliefs and learning
under aL-processes-the heterogeneous case,” Journal of Economic
Dynamics and Control, Vol. 27, No. 3, pp. 503-531.
[27] Chiarella, C. and X. He (2003b), “Heterogeneous Beliefs, Risk
and Learning in a SimpleAsset-Pricing Model with a Market
Maker,” Macroeconomic Dynamics, Vol. 7, No. 4, pp. 503- 536.
[28] Donald J. M. and J. Meyerb (2005), “Risk preferences in multiperiod
consumption models, the equity premium puzzle, and
habit formation utility,” Journal of Monetary Economics Vol. 52,
pp. 1497-1515.
[29] Epstein, L. G. and S. E. Zin (1991), “Substitution, risk aversion,
and the temporal behaviorof consumption and asset returns: an
empirical analysis,” Journal of Political Economy, Vol.99, pp. 263-
286.
[30] Evans G.W. and S. Honkapohja (2001), Learning and Expectations
in Macroeconomics, Series on Frontier of Economic Research
(series editors: Kreps, D. and Sargent, T. J.), Princeton University
Press.
[31] Fama, E. (1998),“Market efficiency,long run returns and behavioural
finance,”Journal of Financial Economics,Vol. 49,pp.
283-306.
[32] Ganuersdorfer, A. (2000), “Endogenous fluctuations in a simple
asset pricing model with heterogeneous agents,” Journal of Economic
Dynamics and Control, Vol. 24, pp. 799-831.
[33] Grossman, S. J. and J. Stiglitz (1980), “On the impossibility of
informationally efficiency markets,” American Economic Review,
Vol. 70, pp. 393-408.
[34] Guvenen M. F. (2002), “Reconciling Conflicting Evidence on the
Elasticity of Intertemporal Substitution: A Macroeconomic Perspective,”
Working Paper n. 491.
[35] Hall R. E. (1988), “Intertemporal substitution in consumption,”
Journal of Political Economy,Vol. 96, pp. 339-357.
[36] Hansen, L. P. and K .J. Singleton (1982), “Generalized instrumental
variables estimation of nonlinear rational expectations
models,” Econometrica, Vol. 50, pp. 1269-1286.
[37] Hansen, L. P. and K .J. Singleton (1983), “Stochastic Consumption,
Risk Aversion, and the Temporal Behavior of Asset Returns,”
The Journal of Political Economy, Vol. 91. No. 2, pp.
249-265.
[38] He, X. and C. Chiarella (2001), “Asset Price and Wealth Dynamics
Under Heterogeneous Expectations,” Quantitative Finance,
Vol. 1, No. 5, pp. 509-526.
[39] Holland, J. and J. Miller (1991), “Artificial Adaptive Agents in
Economic Theory,” American Economic Review, Vol. 81, No. 2,
pp. 365-370.
[40] Jones, L. E., R. Manuelli and E. Stachetti (1999), “Technology
(and Policy) Shocks in Models of Endogeneous Growth,”Working
paper No. 7063, National Bureau of Economic Research.
[41] King, R. G. and S. T. Rebelo (1990), “Public Policy and Economic
Growth: Developing Neoclassical Implications,” Journal
of Political Economy, Vol. 98, No. 5, pp. S127-S150.
[42] Kirman A. (1992), “Whom or What Does the Representative Individual
Represent?”, Journal of Economic Perspectives, Vol. 6,
No. 2, pp. 117-136.
[43] Laibson, D., A. Repetto and J. Tobacman (1998), “Self-Control
and Saving for Retirement,” Brooking Papers on Economic Activity,
pp. 91-172.
[44] LeBaron, B. (2000), “Agent-Based Computational Finance: Suggested
Readings and Early Research,” Journal of Economic Dynamics
and Control, Vol. 24, No. 5-7, pp. 679-702.
[45] LeBaron, B. (2001), “Evolution and Time Horizons in an Agent
Based Stock Market,”Macroeconomic Dynamics, Vol. 5, pp. 225-
254.
[46] LeBaron, B., W. B. Arthur, and R. Palmer (1999), “Time Series
Properties of an Artificial Stock Market,” Journal of Economic
Dynamics and Control, Vol. 23, pp. 1487-1516.
[47] Lux, T. and M. Marchesi (2000), “Volatility clustering in financial
markets: A microsimulation of interacting agents,” International
Journal of Theoretical and Applied Finance, Vol. 3,pp. 675-702.
[48] Markowitz H. (1952), “Portfolio Selection,” Journal of Finance,
Vol. 7, pp. 77-91.
[49] Neely, C. J., A. Roy and C. H. Whiteman (2001), “Risk aversion
versus intertemporal substitution: a case study of identification
failure in the intertemporal consumption capital asset pricing
model,” Journal of Business and Economic Statistics, Vol. 19, pp.
395-403.
[50] Palmer, R. G., W. B. Arthur, J. H. Holland, B. LeBaron and P.
Tayler (1994), “Artificial Economic Life: A Simple Model of a
Stockmarket,” Physica D, Vol. 75, pp. 264-274.
[51] Patterson K. D. and B. Pesaran (1992), “The Intertemporal Elasticity
of Substitution in Consumption in the U.S. and in the
U.K.,” Review of Economics and Statistics, Vol. 74, No.4, pp.
573-584.
[52] Pratt,J.,“Risk Aversion in the Small and the
Large”,Econometrica,32(1964):122-136
[53] Sandroni, A. (2000), “Do Markets Favor Agents Able to Make
Accurate Predictions?” Econometrica,Vol. 68, No. 6, pp. 1303-
1341.
[54] Sciubba, E. (1999): “The Evolution of Portfolio Rules and the
Capital Asset Pricing Model,”DAE Working Paper n. 9909, University
of Cambridge.
[55] Smith D. C. (1999), “Finite sample properties of tests of the
Epstein-Zin asset pricing model,”Journal of Econometrics, Vol.
93, pp. 113-148.
[56] Summers L. H. (1981), “Tax Policy, the Rate of Return, and
Savings,” Manuscript, National Bureau of Economic Research,
No. 995.
[57] Tesfatsion, L. (2001), “Introduction to the Special Issue on Agent-
Based Computational Economics,” Journal of Economic Dynamics
and Control, Vol. 25, pp. 281-293.
[58] Tobin J. (1958), “Liquidity Preference as Behavior Towards
Risk,” Review of Economic Studies, Vol. 25, pp. 65-86.
[59] Vissing-Jorgensen, A. (2002), “Limited Asset Market Participation
and the Elasticity of Intertemporal Substitution,” Journal of
Political Economy, Vol. 110, pp. 825-853.
[60] Vissing-Jorgensen, A., and O. Attanasio (2003), “Stock-Market
Participation, Intertemporal Substitution, and Risk Aversion,” ,
American Economic Review, Vol. 93, No. 2, pp. 383-391.
[61] Weil, P. (1989), “The equity premium puzzle and the risk-free
rate puzzle,” Journal of Monetary Economics, Vol. 24, pp. 401-
421.
[62] Westerhoff, F. (2003), “Heterogeneous Traders and the Tobin
Tax,” Journal of Evolutionary Economics, Vol. 13, pp. 53-70.
描述 碩士
國立政治大學
經濟研究所
92258011
94
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0922580111
資料類型 thesis
dc.contributor.advisor 陳樹衡zh_TW
dc.contributor.advisor Chen,S.-Hen_US
dc.contributor.author (Authors) 王仁甫zh_TW
dc.contributor.author (Authors) Wang,Jen Fuen_US
dc.creator (作者) 王仁甫zh_TW
dc.creator (作者) Wang,Jen Fuen_US
dc.date (日期) 2005en_US
dc.date.accessioned 18-Sep-2009 16:05:07 (UTC+8)-
dc.date.available 18-Sep-2009 16:05:07 (UTC+8)-
dc.date.issued (上傳時間) 18-Sep-2009 16:05:07 (UTC+8)-
dc.identifier (Other Identifiers) G0922580111en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/35803-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 經濟研究所zh_TW
dc.description (描述) 92258011zh_TW
dc.description (描述) 94zh_TW
dc.description.abstract (摘要) 在總體經濟學中,跨期替代分析方法佔有相當重要的地位。其中跨期替代彈性(the
elasticity of intertemporal substitution, EIS)的大小,間接或者直接影響總體經濟中的許多層面,直覺上,例如跨期替代彈性越大,對個人而言,是對當期消費的機會成本提升,使延後消費的意願上升,同時增加個人儲蓄,在正常金融市場情況之下,個人儲蓄金額的增加,將使市場資金的供給量增多,使得企業或個人的投資機會成本降低,經由總體經濟中間接或直接的影響下,則總體經濟成長率應會上升。其中,當消費者效用函數為固定風險趨避係數(constant coefficient of relative risk aversion, CRRA)且具有跨期分割與可加性的特性,加上在傳統經濟學中,假設每個人皆為完全理性的前提下,經由跨期替代分析方法推導後,可以得到相對風險趨避係數(the coefficient of relative risk aversion, RRA)與跨期替代彈性(the elasticity of intertemporal substitution, EIS)恰好是倒數關係。

在過去相關研究中,Hansen and Singleton (1983)推估出跨期替代彈性值較大且顯著,但Hall (1988)強調,若考慮資料的時間加總問題(time aggregation problem),
則前者估計出跨期替代彈性在統計上則不再是顯著;Hall亦於結論提出跨期替代彈性為小於或等於0.1,甚至比0小。在經濟意義上,代表股票市場中投資人的相對風險趨避程度(RRA)極大,直覺上,是不合理的現象,這也是著名的彈性迷思(elasticity puzzle)。於是Epstein and Zin (1991)嘗試建議並修正效用函數為不具時間分割性(non-time separable utility)的效用函數,並得到跨期替代彈性(EIS)與相對風險趨避係數(RRA)互為倒數關係,不復存在的結論。這也說明影響彈性迷思(elasticity puzzle)的原因有許多,其中之一,可能為設定不同形式效用函數所造成。

在傳統經濟模型中,假設完全理性的個人決策行為之下,利用跨期替代方法,可以得到跨期替代彈性(EIS)與相對風險趨避程度(RRA)互為倒數關係後,又得到隱含風險趨避程度為無窮大的推估結論。這也是本研究想要來探究的問題,即是彈性迷思(elasticity puzzle)究竟是假設所造成,或者是因為由個體資料加總成總體資料,所產生的謬誤。

因此,本研究與其他研究不同之處,在於利用建構時間可分離形式的效用函數(time-separable utility)模型基礎,以遺傳演算(Genetic Algorithms)方法,建構有限理性的人工股票市場進行模擬,其中,模擬方式為設定不同代理人(agent)有不同程度的預測能力,代表其理性程度的差異的表現。

本研究發現在有限理性異質性個人的人工股票市場下,相對風險趨避程度係數(RRA)與跨期替代彈性(EIS)不為倒數關係,且設定不同代理人不同的預測能力,亦會影響跨期替代彈性(EIS)的推估數值大小。
zh_TW
dc.description.tableofcontents 1 緒論 ......................................1
1.1 研究動機與目的..........................2
  1.2 本文架構................................4
2 文獻回顧 ...................................6
2.1 傳統經濟學的迷思.........................8
2.1.1 經濟模型缺失........................8
2.1.2 代表性個人與異質性投質者所造成之影響...13
2.1.3 有限理性下的影響.....................13
2.2 以代理人基(Agent-Based)為基礎的經濟學.......15
3 模型建構與設定..............................18
3.1 模型建構...............................18
3.1.1 以傳統無窮期下CAPM模型為建模基礎......18
3.1.2 有限期下多資產CAPM模型建模...........20
3.2 模擬機制與實驗設計......................23
3.2.1 投資者(agent)演化機制.............23
3.3 以本論文模型推導迴歸方程式...............29
3.3.1 模擬設定...........................30
4 模擬結果與計量分析...........................31
4.1 以對數效用函數投資者(log utility agent)為基礎的模擬分析
..........................33
4.1.1 個別投資之EIS模擬結果分析...........35
4.1.2 以個股分發股利(given dividend)為報酬(rd2)之基礎下
      分析...............................47
4.1.3 以log utility 為模擬基礎的結論......52
4.2 比較跨期替代彈性(EIS)與風險趨避程度(RRA)相關性
   4.2.1 以個投資者報酬(rd1)為分析基礎.....56
4.2.2 以市場報酬(rd2)為分析基礎..........57
4.2.3 對消費者及報酬資料加總分析..........59
4.2.4 小結.............................62
4.3 加大異質性對EIS推估的影響...............65
4.3.1 以rd1分析.........................65
4.3.2 在加大異質性以市場報酬(rd2)分析.....66
4.3.3 在大異質性下加總性資料分析..........69
4.3.4 小結.............................70
5 結論與未來研究方向 ........................72
5.1 結論...............................72
5.2 未來研究方向........................74

A 附錄 A--EIS 回歸式-數學推導...............75
B 附錄 B--belief 程式演化說明................78
C 附錄 C--Durbin Watson test ...............81
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dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0922580111en_US
dc.subject (關鍵詞) 跨期替代彈性zh_TW
dc.subject (關鍵詞) 風險趨避係數zh_TW
dc.subject (關鍵詞) 基因演算法zh_TW
dc.subject (關鍵詞) 一般化動差法zh_TW
dc.subject (關鍵詞) 一般化最小平方法zh_TW
dc.subject (關鍵詞) the elasticity of intertemporal substitutionen_US
dc.subject (關鍵詞) RRAen_US
dc.subject (關鍵詞) GMMen_US
dc.subject (關鍵詞) GLSen_US
dc.subject (關鍵詞) Genetic Algorithmsen_US
dc.title (題名) 有限理性與彈性迷思zh_TW
dc.title (題名) Bounded Rationality and the Elasticity Puzzleen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) [1] Adriarez, F., N. Carrasquero and C. Rocco (2003),“Numericalzh_TW
dc.relation.reference (參考文獻) Solutions to a Stochastic Growth Model Based on the Evolutionzh_TW
dc.relation.reference (參考文獻) of a Radial Basis Network,” in S.-H. Chen and P. P. Wang (ed.),zh_TW
dc.relation.reference (參考文獻) Computational Intelligence in Economics and Finance, Springer,zh_TW
dc.relation.reference (參考文獻) pp. 348-357.zh_TW
dc.relation.reference (參考文獻) [2] Adriaens, H., B. Donkers and B. Melenberg (2004), “Extendingzh_TW
dc.relation.reference (參考文獻) the CAPM model,” presented at the 10th International Conferencezh_TW
dc.relation.reference (參考文獻) of the Society for Computational Economics: Computing inzh_TW
dc.relation.reference (參考文獻) Economics and Finance, University of Amsterdam, Amsterdam,zh_TW
dc.relation.reference (參考文獻) the Netherland.zh_TW
dc.relation.reference (參考文獻) [3] Arrow, K.J. (1971),Essays in the Theory of Risk Bearing,zh_TW
dc.relation.reference (參考文獻) Chicago:Markham.zh_TW
dc.relation.reference (參考文獻) [4] Attanasio, O. P. and M. Browning (1995), “Consumption overzh_TW
dc.relation.reference (參考文獻) the Life Cycle and over the Business Cycle,” American Economiczh_TW
dc.relation.reference (參考文獻) Review, Vol. 85, No. 5, pp. 1118-1137.zh_TW
dc.relation.reference (參考文獻) [5] Attanasio, O. P. and G. Weber (1989), “Intertemporal Substitution,zh_TW
dc.relation.reference (參考文獻) Risk Aversion and the Euler Equation for Consumption,”zh_TW
dc.relation.reference (參考文獻) Economic Journal, Vol. 99, pp. 59-73.zh_TW
dc.relation.reference (參考文獻) [6] Attanasio, O. P., J. Banks and S. Tanner (2002), “Assets Holdingzh_TW
dc.relation.reference (參考文獻) and Consumption Volatility,”Journal of Political Economy, Vol.zh_TW
dc.relation.reference (參考文獻) 110, pp. 771-792.zh_TW
dc.relation.reference (參考文獻) [7] Barro,R.J. and X. Sala-I-Martin (1995) Economic Growth, Newzh_TW
dc.relation.reference (參考文獻) York:McGraw Hill Press.zh_TW
dc.relation.reference (參考文獻) [8] Blume, L. and D. Easley (1992), “Evolution and Market Behavior,”zh_TW
dc.relation.reference (參考文獻) Journal of Economic Theory, Vol. 58, pp. 9-40.zh_TW
dc.relation.reference (參考文獻) [9] Blume, L. and D. Easley (2004), “If You’re So Smart, Why Aren’tzh_TW
dc.relation.reference (參考文獻) You Rich? Belief Selection in Complete and Incomplete Markets,”zh_TW
dc.relation.reference (參考文獻) working paper.zh_TW
dc.relation.reference (參考文獻) [10] Blundell, R., M. Browning and C. Meghir (1994), “Consumer Demandzh_TW
dc.relation.reference (參考文獻) and the Life-Cycle Allocation of Household Expenditure,”zh_TW
dc.relation.reference (參考文獻) The Review of Economic Studies, Vol. 61, No. 1, pp. 57-80.zh_TW
dc.relation.reference (參考文獻) [11] B.ohm, V. and J. Wenzelburger (2004), “On the Performancezh_TW
dc.relation.reference (參考文獻) of Efficient Portfolio,” presented at The 10th International Conferencezh_TW
dc.relation.reference (參考文獻) of Computing in Economics and Finance, University ofzh_TW
dc.relation.reference (參考文獻) Amsterdam, Amsterdam, the Netherland.zh_TW
dc.relation.reference (參考文獻) [12] Breeden, D. T. (1979), “An Intertemporal Asset Pricing Modelzh_TW
dc.relation.reference (參考文獻) with Stochastic Consumption and Investment Opportunities,”zh_TW
dc.relation.reference (參考文獻) Journal of Financial Economics, Vol. 7, pp. 265-296.zh_TW
dc.relation.reference (參考文獻) [13] Brock, W. A. and C. H. Hommes (1998), “Heterogeneous beliefszh_TW
dc.relation.reference (參考文獻) and routes to chaos in a simple asset pricing model,” Journal ofzh_TW
dc.relation.reference (參考文獻) Economic Dynamics and Control, Vol. 22, pp. 1235-1274.zh_TW
dc.relation.reference (參考文獻) [14] Bullard, J. and J. Duffy (1999), “Using Genetic Algorithms tozh_TW
dc.relation.reference (參考文獻) Model the Evolution of Heterogenous Beliefs,” Computationalzh_TW
dc.relation.reference (參考文獻) Economics Vol. 13, No. 1, pp. 41-60.zh_TW
dc.relation.reference (參考文獻) [15] Caldarelli, G., M. Piccioni and E. Sciubba (2002), “A Numericalzh_TW
dc.relation.reference (參考文獻) Study on the Evolution of Portfolio Rules,” in S.-H. Chen (ed.),zh_TW
dc.relation.reference (參考文獻) Genetic Algorithms and Genetic Programming in Computationalzh_TW
dc.relation.reference (參考文獻) Finance, Kluwer, pp. 379-395.zh_TW
dc.relation.reference (參考文獻) [16] Campbell, J. Y. (2003), “Consumption-Based Asset Pricing,”zh_TW
dc.relation.reference (參考文獻) (chapter 13, pp. 801-885), in Constantinides, G. M., Harris, M.zh_TW
dc.relation.reference (參考文獻) and Stulz, R. M. (Eds.), Handbook of the Economics of Finance,zh_TW
dc.relation.reference (參考文獻) Vol. 1B (Amsterdam: Elsevier, 2003)zh_TW
dc.relation.reference (參考文獻) [17] Campbell, J.Y. and J.H. Cochrane (1999), “By force of habit: Azh_TW
dc.relation.reference (參考文獻) consumption-based explanation of aggregate stock market behavior,”zh_TW
dc.relation.reference (參考文獻) Journal of Political Economy, Vol. 107,pp. 205-251.zh_TW
dc.relation.reference (參考文獻) [18] Campbell, J. Y. and N. G. Mankiw (1989), “Consumption, Income,zh_TW
dc.relation.reference (參考文獻) and Interest Rates: Reinterpreting the time series evidence,”zh_TW
dc.relation.reference (參考文獻) NBER working paper n. 2924.zh_TW
dc.relation.reference (參考文獻) [19] Carroll, C. D. (1997), “Buffer-Stock Saving and the Life Cycle/zh_TW
dc.relation.reference (參考文獻) Permanent Income Hypothesis,”Quarterly Journal of Economics,zh_TW
dc.relation.reference (參考文獻) Vol. 112, pp. 1-55.zh_TW
dc.relation.reference (參考文獻) [20] Chen, S.-H. and C.-H. Yeh (2001), “Evolving Traders and thezh_TW
dc.relation.reference (參考文獻) Business School with Genetic Programming: A New Architecturezh_TW
dc.relation.reference (參考文獻) of the Agent-Based Artificial Stock Market,” Journal of Economiczh_TW
dc.relation.reference (參考文獻) Dynamics and Control, Vol. 25, pp. 363-393.zh_TW
dc.relation.reference (參考文獻) [21] Chen, S.-H. and C.-H. Yeh (2002), “On the Emergent Propertieszh_TW
dc.relation.reference (參考文獻) of Artificial Stock Markets,”Journal of Economic Behavior andzh_TW
dc.relation.reference (參考文獻) Organization, Vol. 49, pp. 217-229.zh_TW
dc.relation.reference (參考文獻) [22] Chen, S.-H. and C.-C. Liao (2003), “Behavioral Finance andzh_TW
dc.relation.reference (參考文獻) Agent-Based Computational Finance: Toward an Integratingzh_TW
dc.relation.reference (參考文獻) Framework,” in K. Chen et al. (eds.), Proceedings of 7th Informationzh_TW
dc.relation.reference (參考文獻) Sciences, September 26-30, 2003, Cary, North Carolina,zh_TW
dc.relation.reference (參考文獻) U.S.A., pp. 1235-1238.zh_TW
dc.relation.reference (參考文獻) [23] Chen, S.-H. and Y.-C. Huang (2004), “Risk Preference, Forecastingzh_TW
dc.relation.reference (參考文獻) Accuracy and Survival Dynamics: Simulations Based on azh_TW
dc.relation.reference (參考文獻) Multi-Asset Agent-Based Artificial Stock Market,” submitted tozh_TW
dc.relation.reference (參考文獻) Journal of Economic Behavior and Organization.zh_TW
dc.relation.reference (參考文獻) [24] Chen, S.-H. and C.-C. Liao (2004),“Agent-Based Computationalzh_TW
dc.relation.reference (參考文獻) Modeling of the Stock Price-Volume Relation,” Information Sciences,zh_TW
dc.relation.reference (參考文獻) forthcoming.zh_TW
dc.relation.reference (參考文獻) [25] Chiarella, C. and X. He (2002), “Heterogeneous Beliefs, Risk andzh_TW
dc.relation.reference (參考文獻) Learning in a Simple Asset Pricing Model,” Computational Economics,zh_TW
dc.relation.reference (參考文獻) Vol. 19, No. 1, pp. 95-132.zh_TW
dc.relation.reference (參考文獻) [26] Chiarella, C. and X. He (2003a), “Dynamics of beliefs and learningzh_TW
dc.relation.reference (參考文獻) under aL-processes-the heterogeneous case,” Journal of Economiczh_TW
dc.relation.reference (參考文獻) Dynamics and Control, Vol. 27, No. 3, pp. 503-531.zh_TW
dc.relation.reference (參考文獻) [27] Chiarella, C. and X. He (2003b), “Heterogeneous Beliefs, Riskzh_TW
dc.relation.reference (參考文獻) and Learning in a SimpleAsset-Pricing Model with a Marketzh_TW
dc.relation.reference (參考文獻) Maker,” Macroeconomic Dynamics, Vol. 7, No. 4, pp. 503- 536.zh_TW
dc.relation.reference (參考文獻) [28] Donald J. M. and J. Meyerb (2005), “Risk preferences in multiperiodzh_TW
dc.relation.reference (參考文獻) consumption models, the equity premium puzzle, andzh_TW
dc.relation.reference (參考文獻) habit formation utility,” Journal of Monetary Economics Vol. 52,zh_TW
dc.relation.reference (參考文獻) pp. 1497-1515.zh_TW
dc.relation.reference (參考文獻) [29] Epstein, L. G. and S. E. Zin (1991), “Substitution, risk aversion,zh_TW
dc.relation.reference (參考文獻) and the temporal behaviorof consumption and asset returns: anzh_TW
dc.relation.reference (參考文獻) empirical analysis,” Journal of Political Economy, Vol.99, pp. 263-zh_TW
dc.relation.reference (參考文獻) 286.zh_TW
dc.relation.reference (參考文獻) [30] Evans G.W. and S. Honkapohja (2001), Learning and Expectationszh_TW
dc.relation.reference (參考文獻) in Macroeconomics, Series on Frontier of Economic Researchzh_TW
dc.relation.reference (參考文獻) (series editors: Kreps, D. and Sargent, T. J.), Princeton Universityzh_TW
dc.relation.reference (參考文獻) Press.zh_TW
dc.relation.reference (參考文獻) [31] Fama, E. (1998),“Market efficiency,long run returns and behaviouralzh_TW
dc.relation.reference (參考文獻) finance,”Journal of Financial Economics,Vol. 49,pp.zh_TW
dc.relation.reference (參考文獻) 283-306.zh_TW
dc.relation.reference (參考文獻) [32] Ganuersdorfer, A. (2000), “Endogenous fluctuations in a simplezh_TW
dc.relation.reference (參考文獻) asset pricing model with heterogeneous agents,” Journal of Economiczh_TW
dc.relation.reference (參考文獻) Dynamics and Control, Vol. 24, pp. 799-831.zh_TW
dc.relation.reference (參考文獻) [33] Grossman, S. J. and J. Stiglitz (1980), “On the impossibility ofzh_TW
dc.relation.reference (參考文獻) informationally efficiency markets,” American Economic Review,zh_TW
dc.relation.reference (參考文獻) Vol. 70, pp. 393-408.zh_TW
dc.relation.reference (參考文獻) [34] Guvenen M. F. (2002), “Reconciling Conflicting Evidence on thezh_TW
dc.relation.reference (參考文獻) Elasticity of Intertemporal Substitution: A Macroeconomic Perspective,”zh_TW
dc.relation.reference (參考文獻) Working Paper n. 491.zh_TW
dc.relation.reference (參考文獻) [35] Hall R. E. (1988), “Intertemporal substitution in consumption,”zh_TW
dc.relation.reference (參考文獻) Journal of Political Economy,Vol. 96, pp. 339-357.zh_TW
dc.relation.reference (參考文獻) [36] Hansen, L. P. and K .J. Singleton (1982), “Generalized instrumentalzh_TW
dc.relation.reference (參考文獻) variables estimation of nonlinear rational expectationszh_TW
dc.relation.reference (參考文獻) models,” Econometrica, Vol. 50, pp. 1269-1286.zh_TW
dc.relation.reference (參考文獻) [37] Hansen, L. P. and K .J. Singleton (1983), “Stochastic Consumption,zh_TW
dc.relation.reference (參考文獻) Risk Aversion, and the Temporal Behavior of Asset Returns,”zh_TW
dc.relation.reference (參考文獻) The Journal of Political Economy, Vol. 91. No. 2, pp.zh_TW
dc.relation.reference (參考文獻) 249-265.zh_TW
dc.relation.reference (參考文獻) [38] He, X. and C. Chiarella (2001), “Asset Price and Wealth Dynamicszh_TW
dc.relation.reference (參考文獻) Under Heterogeneous Expectations,” Quantitative Finance,zh_TW
dc.relation.reference (參考文獻) Vol. 1, No. 5, pp. 509-526.zh_TW
dc.relation.reference (參考文獻) [39] Holland, J. and J. Miller (1991), “Artificial Adaptive Agents inzh_TW
dc.relation.reference (參考文獻) Economic Theory,” American Economic Review, Vol. 81, No. 2,zh_TW
dc.relation.reference (參考文獻) pp. 365-370.zh_TW
dc.relation.reference (參考文獻) [40] Jones, L. E., R. Manuelli and E. Stachetti (1999), “Technologyzh_TW
dc.relation.reference (參考文獻) (and Policy) Shocks in Models of Endogeneous Growth,”Workingzh_TW
dc.relation.reference (參考文獻) paper No. 7063, National Bureau of Economic Research.zh_TW
dc.relation.reference (參考文獻) [41] King, R. G. and S. T. Rebelo (1990), “Public Policy and Economiczh_TW
dc.relation.reference (參考文獻) Growth: Developing Neoclassical Implications,” Journalzh_TW
dc.relation.reference (參考文獻) of Political Economy, Vol. 98, No. 5, pp. S127-S150.zh_TW
dc.relation.reference (參考文獻) [42] Kirman A. (1992), “Whom or What Does the Representative Individualzh_TW
dc.relation.reference (參考文獻) Represent?”, Journal of Economic Perspectives, Vol. 6,zh_TW
dc.relation.reference (參考文獻) No. 2, pp. 117-136.zh_TW
dc.relation.reference (參考文獻) [43] Laibson, D., A. Repetto and J. Tobacman (1998), “Self-Controlzh_TW
dc.relation.reference (參考文獻) and Saving for Retirement,” Brooking Papers on Economic Activity,zh_TW
dc.relation.reference (參考文獻) pp. 91-172.zh_TW
dc.relation.reference (參考文獻) [44] LeBaron, B. (2000), “Agent-Based Computational Finance: Suggestedzh_TW
dc.relation.reference (參考文獻) Readings and Early Research,” Journal of Economic Dynamicszh_TW
dc.relation.reference (參考文獻) and Control, Vol. 24, No. 5-7, pp. 679-702.zh_TW
dc.relation.reference (參考文獻) [45] LeBaron, B. (2001), “Evolution and Time Horizons in an Agentzh_TW
dc.relation.reference (參考文獻) Based Stock Market,”Macroeconomic Dynamics, Vol. 5, pp. 225-zh_TW
dc.relation.reference (參考文獻) 254.zh_TW
dc.relation.reference (參考文獻) [46] LeBaron, B., W. B. Arthur, and R. Palmer (1999), “Time Serieszh_TW
dc.relation.reference (參考文獻) Properties of an Artificial Stock Market,” Journal of Economiczh_TW
dc.relation.reference (參考文獻) Dynamics and Control, Vol. 23, pp. 1487-1516.zh_TW
dc.relation.reference (參考文獻) [47] Lux, T. and M. Marchesi (2000), “Volatility clustering in financialzh_TW
dc.relation.reference (參考文獻) markets: A microsimulation of interacting agents,” Internationalzh_TW
dc.relation.reference (參考文獻) Journal of Theoretical and Applied Finance, Vol. 3,pp. 675-702.zh_TW
dc.relation.reference (參考文獻) [48] Markowitz H. (1952), “Portfolio Selection,” Journal of Finance,zh_TW
dc.relation.reference (參考文獻) Vol. 7, pp. 77-91.zh_TW
dc.relation.reference (參考文獻) [49] Neely, C. J., A. Roy and C. H. Whiteman (2001), “Risk aversionzh_TW
dc.relation.reference (參考文獻) versus intertemporal substitution: a case study of identificationzh_TW
dc.relation.reference (參考文獻) failure in the intertemporal consumption capital asset pricingzh_TW
dc.relation.reference (參考文獻) model,” Journal of Business and Economic Statistics, Vol. 19, pp.zh_TW
dc.relation.reference (參考文獻) 395-403.zh_TW
dc.relation.reference (參考文獻) [50] Palmer, R. G., W. B. Arthur, J. H. Holland, B. LeBaron and P.zh_TW
dc.relation.reference (參考文獻) Tayler (1994), “Artificial Economic Life: A Simple Model of azh_TW
dc.relation.reference (參考文獻) Stockmarket,” Physica D, Vol. 75, pp. 264-274.zh_TW
dc.relation.reference (參考文獻) [51] Patterson K. D. and B. Pesaran (1992), “The Intertemporal Elasticityzh_TW
dc.relation.reference (參考文獻) of Substitution in Consumption in the U.S. and in thezh_TW
dc.relation.reference (參考文獻) U.K.,” Review of Economics and Statistics, Vol. 74, No.4, pp.zh_TW
dc.relation.reference (參考文獻) 573-584.zh_TW
dc.relation.reference (參考文獻) [52] Pratt,J.,“Risk Aversion in the Small and thezh_TW
dc.relation.reference (參考文獻) Large”,Econometrica,32(1964):122-136zh_TW
dc.relation.reference (參考文獻) [53] Sandroni, A. (2000), “Do Markets Favor Agents Able to Makezh_TW
dc.relation.reference (參考文獻) Accurate Predictions?” Econometrica,Vol. 68, No. 6, pp. 1303-zh_TW
dc.relation.reference (參考文獻) 1341.zh_TW
dc.relation.reference (參考文獻) [54] Sciubba, E. (1999): “The Evolution of Portfolio Rules and thezh_TW
dc.relation.reference (參考文獻) Capital Asset Pricing Model,”DAE Working Paper n. 9909, Universityzh_TW
dc.relation.reference (參考文獻) of Cambridge.zh_TW
dc.relation.reference (參考文獻) [55] Smith D. C. (1999), “Finite sample properties of tests of thezh_TW
dc.relation.reference (參考文獻) Epstein-Zin asset pricing model,”Journal of Econometrics, Vol.zh_TW
dc.relation.reference (參考文獻) 93, pp. 113-148.zh_TW
dc.relation.reference (參考文獻) [56] Summers L. H. (1981), “Tax Policy, the Rate of Return, andzh_TW
dc.relation.reference (參考文獻) Savings,” Manuscript, National Bureau of Economic Research,zh_TW
dc.relation.reference (參考文獻) No. 995.zh_TW
dc.relation.reference (參考文獻) [57] Tesfatsion, L. (2001), “Introduction to the Special Issue on Agent-zh_TW
dc.relation.reference (參考文獻) Based Computational Economics,” Journal of Economic Dynamicszh_TW
dc.relation.reference (參考文獻) and Control, Vol. 25, pp. 281-293.zh_TW
dc.relation.reference (參考文獻) [58] Tobin J. (1958), “Liquidity Preference as Behavior Towardszh_TW
dc.relation.reference (參考文獻) Risk,” Review of Economic Studies, Vol. 25, pp. 65-86.zh_TW
dc.relation.reference (參考文獻) [59] Vissing-Jorgensen, A. (2002), “Limited Asset Market Participationzh_TW
dc.relation.reference (參考文獻) and the Elasticity of Intertemporal Substitution,” Journal ofzh_TW
dc.relation.reference (參考文獻) Political Economy, Vol. 110, pp. 825-853.zh_TW
dc.relation.reference (參考文獻) [60] Vissing-Jorgensen, A., and O. Attanasio (2003), “Stock-Marketzh_TW
dc.relation.reference (參考文獻) Participation, Intertemporal Substitution, and Risk Aversion,” ,zh_TW
dc.relation.reference (參考文獻) American Economic Review, Vol. 93, No. 2, pp. 383-391.zh_TW
dc.relation.reference (參考文獻) [61] Weil, P. (1989), “The equity premium puzzle and the risk-freezh_TW
dc.relation.reference (參考文獻) rate puzzle,” Journal of Monetary Economics, Vol. 24, pp. 401-zh_TW
dc.relation.reference (參考文獻) 421.zh_TW
dc.relation.reference (參考文獻) [62] Westerhoff, F. (2003), “Heterogeneous Traders and the Tobinzh_TW
dc.relation.reference (參考文獻) Tax,” Journal of Evolutionary Economics, Vol. 13, pp. 53-70.zh_TW