Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/36686
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dc.contributor.advisor杜化宇zh_TW
dc.contributor.advisorTu, Anthony H.en_US
dc.contributor.author陳筱竹zh_TW
dc.contributor.authorChen, Hsiao-Chuen_US
dc.creator陳筱竹zh_TW
dc.creatorChen, Hsiao-Chuen_US
dc.date2003en_US
dc.date.accessioned2009-09-18T11:17:37Z-
dc.date.available2009-09-18T11:17:37Z-
dc.date.issued2009-09-18T11:17:37Z-
dc.identifierG0091357007en_US
dc.identifier.urihttps://nccur.lib.nccu.edu.tw/handle/140.119/36686-
dc.description碩士zh_TW
dc.description國立政治大學zh_TW
dc.description財務管理研究所zh_TW
dc.description91357007zh_TW
dc.description92zh_TW
dc.description.abstract本文著重在探討現股放空限制與交易成本對期貨錯價之影響。以門檻自我迴歸與續航門檻自我迴歸模型分析期貨錯價之非線性過程,我們發現錯價有回歸平均(mean reversion)的現象。當期貨錯價為正時(套利策略為買現貨賣期貨),交易量對錯價影響為負;但若期貨錯價為負(套利策略為賣現貨買期貨),考慮到昂貴的放空成本(costly short sell hypothesis),交易量對錯價的影響將是較不明確的。zh_TW
dc.description.abstractThis article highlights the impact of short selling restrictions and trading costs on the relation on futures mispricing error. Within threshold autoregression model (TAR) and momentum threshold autoregressive model (M-TAR), the influence of optimal arbitrage trading on the mispricing is analyzed. Results concerning trading volume and level, mean reversion in mispricing error, and the model which describes mispricing process better. The empirical evidence suggests that trading costs and short selling costs are influential factors for the mispricing behavior. Moreover, the futures trading volume affects mispricing level significantly.en_US
dc.description.tableofcontentsABSTRACT 3\r\nCHAPTER 1. INTRODUCTION 4\r\nCHAPTER 2. LITERATURE REVIEW 7\r\n2.1 FUTURES PRICES AND THE EXPECTED FUTURE SPOT PRICE 7\r\n2.2. LEAD-LAG RELATION 8\r\n2.3. MISPRICING ERROR 9\r\n2.4 SYMMETRY VERSUS ASYMMETRY OF BASIS PROCESS 10\r\n2.5 MARKET IMPERFERCTIONESS WHICH AFFECTS THE FUTURES PRICING 11\r\n2.5.1 TRANSACTION COST 11\r\n2.5.2. SHORT SELLING RESTRICTION 14\r\n2.5.3. OTHER FACTORS 16\r\n2.6 THE RELATIONSHIP BETWEEN FUTURES MISPRICING AND VOLUME 17\r\nCHAPTER 3. RESEARCH MODEL 18\r\n3.1 UNIT ROOT TESTS 18\r\n3.2 UNIT ROOT TEST WITH THRESHOLD AUTOREGRESSIVE (TAR) MODEL 20\r\nI). HIGHER-ORDER PROCESSES: 21\r\nII). ALTERNATIVE ADJUSTMENT SPECIFICATIONS 21\r\n3.3 BASIS AS THE INDICATOR FUNCTION 23\r\n3.4 THE HYPOTHESES 24\r\n3.5 GRANGER CAUSALITY 26\r\n3.5.1. APPROPRIATE LAGS 26\r\n3.5.2. GRANGER CAUSALITY TEST 27\r\n3.6 VECTOR AUTOREGRESSION (VAR) 28\r\nCHAPTER 4. DATA AND EMPIRICAL RESULTS 29\r\n4.1 DATA 29\r\n4.1.1 SAMPLE PERIOD AND FREQUENCY 29\r\n4.2 PRELIMINARY STATISTICS 29\r\n4.3 AUGMENTED DICKEY-FULLER TEST 30\r\n4.4 TAR MODEL 33\r\n4.5 COMPARE THE MODELS 36\r\n4.6 GRANGER CAUSALITY TEST 37\r\n4.7 REGRESSION ANALYSIS 40\r\nCHAPTER 5. CONCLUSION 42\r\nAPPENDIX A 44\r\nREFERENCE 45zh_TW
dc.language.isoen_US-
dc.source.urihttp://thesis.lib.nccu.edu.tw/record/#G0091357007en_US
dc.subject錯價zh_TW
dc.subject交易量zh_TW
dc.subject門檻自我迴歸zh_TW
dc.subject放空成本zh_TW
dc.subjectmispricingen_US
dc.subjecttrading volumeen_US
dc.subjectS&P500en_US
dc.subjectTARen_US
dc.subjectshort selling costen_US
dc.titleS&P500指數期貨之錯價與交易量之非線性關係─以門檻自我迴歸分析zh_TW
dc.titleThe Nonlinear Relation Between S&P500 Index Futures Mispricing and Volume: The Threshold Analysisen_US
dc.typethesisen
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