52 expiration effect (2303) (2330) (1301) (1303) (1216) % (SIMEX) (Morgan Stan

Similar documents
untitled

untitled

untitled

untitled

untitled

untitled

untitled


基于因子分析的敦煌莫高窟游客满意度研究

untitled

1 CAPM CAPM % % Wippern, aGebhardt Lee Swaminathan % 5.10% 4.18% 2 3 1Gebhardt Lee Swa

Myers Majluf 1984 Lu Putnam R&D R&D R&D R&D

Probabilities of Default RMI PDs CVI 7-8 KMV 9 KMV KMV KMV 1. KMV KMV DPT DD DD DD DPT Step 1 V E = V A N d 1 - e rt DN d 2 1 d 1 = ln V A

(156) / Spurious Regression Unit Root Test Cointergration TestVector Error Correction Model Granger / /

untitled

,, :, ;,,?, : (1), ; (2),,,, ; (3),,, :,;; ;,,,,(Markowitz,1952) 1959 (,,2000),,, 20 60, ( Evans and Archer,1968) ,,,

Microsoft Word - 971管理學院工作報告2

untitled

C02.doc

Microsoft PowerPoint - CH2_Merchanics of Futures Markets.ppt

Markowitz 1952 DOT(designated order turnaround) ESP(exchange stock portfolio) ( ) , side car ETFExchange Traded Fund ETF ETF ETF ETF ETF ETF

國立中山大學學位論文典藏.PDF

FVA MVA I


: p = i p i 21, 1991,,,, M 0 M 1 M 2 ;, 1990, : (1990,2000) 2001 (1996, ) ( ) ( ) ( ) ( ) (1997

最 簡 單 的 利 率 交 換 契 約 是 單 純 型 (plain vanilla) 的 利 率 交 換 合 約, 舉 例 來 說, 假 設 在 2011 年 3 月 1 日 甲 方 與 乙 方 簽 定 名 目 本 金 1 億 萬 美 的 利 率 交 換 合 約, 乙 方 同 意 未 來 的 三

untitled

untitled

De Roon Veld (1998) 0116 %, %,,,, 180,,, Burlacu (2000) 141,,, Abhyankar Dunning (1999), %,, %, %, %, % (2

涨跌停版的磁吸效应:来自中国股市的实证发现

标题

% 5 CPI CPI PPI Benjamin et al Taylor 1993 Cukierman and Gerlach 2003 Ikeda 2013 Jonas and Mishkin

境外人民币期货的现状与趋势分析.doc

01-article.doc

<4D F736F F D20B2C4A447B2D5B14DC344B4C1A4A4AED1ADB1B8EAAEC62E646F63>

谢 辞 仿 佛 2010 年 9 月 的 入 学 发 生 在 昨 天, 可 一 眨 眼, 自 己 20 多 岁 的 两 年 半 就 要 这 么 匆 匆 逝 去, 心 中 真 是 百 感 交 集 要 是 在 古 代, 男 人 在 二 十 几 岁 早 已 成 家 立 业, 要 是 在 近 代, 男 人


<4D F736F F D20BDD7A4E5B6B0A455A555A658A8D6AAA95FA477A752B0A3A5BCB56FAAEDA4E5B3B E30372E30355F2E646F63>

No

ARCH 系 列 模 型 介 绍 与 应 用 目 录 一 波 动 率 基 本 概 念... 3 二 Black-Scholes 期 权 定 价 公 式 中 的 波 动 率... 4 三 GARCH 类 模 型 简 述... 5 四 基 于 沪 深 300 指 数 样 本 的 GARCH 类 模 型

M 2 ΠGDP (1996) M2ΠGDP (2000) (2000) (2001) (2001) (2001) (2002) (2002) (2002) (2003) (2001) (2005) (2005) (2006) (2004) M2ΠGDP ; M2ΠGDP ; M2ΠG

<4D F736F F D20B5DAC8FDBDECB2A2B9BAC2DBCCB3C8D5B3CC2E646F63>

普通高等学校本科专业设置管理规定

中国金融体系运行效率分析(提纲)

No

0 1 VaR 2 VaR 3 VaR 4 5 VaR 6 7 VaR 2

31 3 Vol. 31 No Research of Finance and Education May ,,, BS,,,,, ; ; ; ; : F : A : ( 2018)

第二章.doc

Lewis

) & ( +,! (# ) +. + / & 6!!!.! (!,! (! & 7 6!. 8 / ! (! & 0 6! (9 & 2 7 6!! 3 : ; 5 7 6! ) % (. ()

CPI Krugman 1986 Dornbush 1987 Mark - up Pricing - to - Market Obstfeld and Rogoff 1995 Dornbush 1987 Redux NOEM 2008 NOEM CPI Tayl


1970 Roulac (1996) (shock) (structure change) Barras and Ferguson (1985) Barras (1994) (1990) (1996) (1997) 1

管 理 科 学 软 科 学 2013 年 6 月 第 27 卷 第 6 期 ( 总 第 162 期 ) 变 量 选 择 1 CAR i i CSP / 2 /

序 言 本 研 習 資 料 手 冊 按 照 投 資 相 連 長 期 保 險 考 試 範 圍 編 纂 而 成, 該 考 試 試 題 將 按 本 研 習 資 料 手 冊 擬 定 內 文 每 章 結 尾 部 份 另 列 有 模 擬 試 題 供 參 考 在 香 港 保 險 業 監 理 處 的 應 允 下,

,,,,,Modigliani - Miller Bernanke, Gertler Gilchrist 1996,, Bernanke, Gertler Gilchrist ( ) ( ),,,, Bernanke, Gertler Gilchrist (1999),,, RBC, Bernank


Microsoft Word - 24-BF03.doc

長久以來,經濟學者最常利用國民生產毛額(Gross National Product, GNP)來作為一個國家或經濟社會福利水準高低之衡量標準

香 港 浸 會 大 學 我 們 一 致 通 過 經 濟 主 修 學 生 葉 仲 謙 的 畢 業 論 文 : < 分 析 中 國 服 務 業 增 長 的 城 鎮 化 因 素 > 作 為 結 業 要 求 的 一 部 份, 並 推 薦 上 述 學 生 接 受 中 國 研 究 社 會 科 學 學 士 ( 榮

标题

untitled

Transcription:

1 2 3 expiration effect * 1 2 3

52 expiration effect 2004 5 28 5 49.35 2.82 110 (2303) (2330) (1301) (1303) (1216) 104 5.08 5 94 6 5.23 894 110 12.3% (SIMEX) 1997 1 9 77 (Morgan Stanley Capital International Taiwan stock index futures, MSCI Taiwan stock index futures) (Taiwan Futures Exchange, TAIFEX) 1998 7 21 ( TAIFEX ) Samuelson(1965,1976)

53 Samuelson Hypothesis Stoll &Whaley(1987,1990b,1991) Stoll and Whaley (1987) Klemkosky(1978) Jarrow(1994) Samuelson Hypothesis

54 Samuelson(1965,1976) Stoll & Whaley (1987,1990b,1991) (SIMEX) 1997 1 9 (MSCI) 77 1 2 1 8:45 1:45 100 7% 10% 15% 0.1 10 5000 2250 : (2004/5/31)

55 2 2330 12.72 2371 0.69 2615 0.28 2303 6.28 9904 0.67 2391 0.28 2317 4.12 3012 0.66 2394 0.28 2882 4.01 2308 0.64 2023 0.28 2409 3.52 2327 0.58 2501 0.26 1303 3.18 2325 0.58 2854 0.26 2886 3.15 1605 0.57 2618 0.23 2002 3.14 2808 0.57 2312 0.23 1301 2.54 2349 0.57 2395 0.22 2891 2.51 1402 0.54 2411 0.22 2454 2.51 1216 0.54 1710 0.21 2883 2.45 2884 0.52 2610 0.21 2357 2.34 2912 0.5 2396 0.2 2881 1.85 1520 0.47 2343 0.19 3009 1.82 2201 0.47 1310 0.19 2382 1.74 2347 0.46 1802 0.19 2412 1.61 3008 0.46 2345 0.18 2324 1.6 2609 0.44 1604 0.18 2892 1.52 2388 0.44 9915 0.17 1326 1.49 2204 0.44 1451 0.16 2353 1.37 2356 0.43 1434 0.15 2887 1.22 3051 0.43 2316 0.14 2352 1.2 2376 0.39 2381 0.14 2880 1.12 2379 0.36 2313 0.14 3045 1.04 3019 0.36 9917 0.14 2301 1.03 2418 0.35 2515 0.13 2475 1 2105 0.34 2331 0.13 2801 0.99 1101 0.33 9921 0.12 2311 0.95 2603 0.32 2333 0.12 2344 0.92 1102 0.32 1717 0.12 2337 0.89 1907 0.31 1503 0.12 2323 0.86 2332 0.3 2526 0.11 2890 0.83 2377 0.3

56 2888 0.81 1504 0.28 : (2004/5/31) 1998 7 21 ( 100 ) 100 --------------------------------- 1 67% 3 50 4 3 8:45 1:45 200 7% 1 200 ( MTX ) 1. 2,000

57 2. 4,000 3. 4. : (2004/5/31) 4 50 1 2330 8.65% 26 2353 0.74% 2 2412 3.97% 27 2352 0.72% 3 2882 3.64% 28 2408 0.67% 4 2303 3.42% 29 3012 0.67% 5 6505 3.11% 30 2801 0.67% 6 2317 2.8% 31 2311 0.64% 7 1303 2.16% 32 2301 0.62% 8 2002 2.13% 33 2344 0.55% 9 2409 2.13% 34 2888 0.55% 10 2881 2.01% 35 2323 0.54% 11 2886 1.89% 36 2308 0.5% 12 1301 1.73% 37 2890 0.5% 13 3009 1.65% 38 1402 0.49% 14 1326 1.62% 39 2204 0.47% 15 2382 1.58% 40 9904 0.45% 16 2891 1.52% 41 2609 0.44% 17 2454 1.51% 42 2337 0.43% 18 2883 1.48% 43 2603 0.43% 19 2357 1.41% 44 2371 0.41% 20 3045 1.13% 45 2884 0.4% 21 2892 1.03% 46 2401 0.4% 22 2880 1.01% 47 2610 0.38% 23 2324 0.97% 48 2912 0.38% 24 2475 0.96% 49 2201 0.38% 25 2887 0.84% 50 1605 0.38%

58 : (2004/5/31) Board and Sutcliffe 1990 Φ t D t ln=α 0 +β 1 m t +β 2 Φ t +β 3 D t +µ t -------------------------------------------------- 2 1. Stoll and Whaley (1997) speculative strategies Jarrow 1994 2. cost of carry model F t =S t [1+(r t -d)(t-t)] ------------------------------------------------------ 3 carrying charge +

59 + + + + + + Chamberlain,Cheung and Kwan 1989 Programing trading Stoll and Whaley 1987 3.

60 Stoll and Whaley 1990 Figlewski(1984) George,Jot Tony 1997 NAI FU,Charles Robert A 1995 S P500 2000 1997 6 CME NYSE NYFE S P500 NYSE Stoll and Whaley 1990a Stoll and Whaley 1997 Stoll and Whaley 1989 REV Herbst and Maberly 1991 EPR S P500 EPR Herbst and Maberly 1990 Stoll and Whaley 1991 S P500 NYSE Samuelson(1965,1976) Samuelson Hypothesis Stoll & Whaley(1987,1990b,1991)

61 (2003) Samuelson Hypothesis(1965,1967) Stoll & Whaley (1987,1990b,1991) Stoll & Whaley (1987,1990b,1991) (2003) (2003) TAIFEX Edwards(1988a,b) Pope & Yadav(1992) Chamberlain(1989) Board & Sutcliffe(1990) FE-SE 100 Chen,Duan & Hung(1999) 225 Segall(1956) Chiang & Tapley(1983) Herbst & Maberly(1990) S&P500 S&P100 Chen,Duan & Williams(1994) S&P100 Karolyi(1996) 2002 2002 2004 (2000)

62 - ( ) 2001 1959 1960 9 1961 10 23 1961 2 9 - (Taiwan Stock Exchange TSE) 1981 1990 12 29 (QFII) 25 1991 3 4 1993 8 50 1994 4 75 50% 1995 2 1996 3 2001 1 (QFII) 87 7 21 9 93 10 74 SIMEX

63 5 6 5 1998 1999 2000 2001 2002 2003 2004 1 1/20 1/21 1/19 1/20 1/17 1/18 1/16 1/17 1/15 1/16 1/27 1/28 2 2/20 2/22 2/16 2/17 2/21 2/22 2/20 2/21 2/19 2/20 2/18 2/19 3 3/17 3/18 3/15 3/16 3/21 3/22 3/20 3/21 3/19 3/20 3/17 3/18 4 4/21 4/22 4/19 4/20 4/18 4/19 4/17 4/18 4/16 4/17 4/21 4/22 5 5/19 5/20 5/17 5/18 5/16 5/17 5/15 5/16 5/21 5/22 5/19 5/20 6 6/16 6/17 6/21 6/22 6/20 6/21 6/19 6/20 6/18 6/19 6/16 6/17 7 7/21 7/22 7/19 7/20 7/18 7/19 7/17 7/18 7/16 7/17 7/21 7/22 8 8/18 8/19 8/16 8/17 8/15 8/16 8/21 8/22 8/20 8/21 8/18 8/19 9 9/16 9/17 9/15 9/16 9/20 9/21 9/19 9/20 9/18 9/19 9/17 9/18 9/15 9/16 10 10/2 10/2 10/2 10/2 10/1 10/19 10/17 10/18 10/16 10/17 10/15 10/16 10/20 10/21 1 2 0 1 8 11 11/1 11/1 11/1 11/1 11/1 11/16 11/21 11/22 11/20 11/21 11/19 11/20 8 9 7 8 5 12 12/1 12/1 12/1 12/1 12/2 12/21 12/19 12/20 12/18 12/19 12/17 12/18 6 7 5 6 0 : 6 1998 1999 2000 2001 2002 2003 2004 1 1/29 1/28 1/30 1/30 1/27 1/29 2 2/25 2/25 2/27 2/26 2/26 2/26 3 3/30 3/30 3/29 3/28 3/28 3/30 4 4/29 4/28 4/27 4/29 4/29 4/29 5 5/28 5/30 5/30 5/30 5/29 5/28 6 6/29 6/29 6/28 6/27 6/27 6/29 7 7/29 7/28 7/31 7/30 7/30 7/29 8 8/30 8/30 8/30 8/29 8/28 8/30 9 9/29 10/6 9/29 9/27 9/27 9/29 9/29 10 10/30 10/29 10/30 10/30 10/30 10/30 10/28 11 11/27 11/29 11/29 11/29 11/28 11/27 12 12/30 12/27 12/29 12/28 12/30 12/30 :

64 (Basis) (Carrying Charge) (Backwardation Market) (cost of carry model) F t =S t e (r-d)(t-t) ---------------------------------------------------------------- (4) F t t S t t r d T-t t B t =S t -F t =S t -S t e (r-d)(t-t) =S t (1- e (r-d)(t-t) ) ------------------------------------------------- (5) (5) S t 0 0 e (r-d)(t-t) 1 B t (2000) I t =F t -S t =-(S t -F t ) =-B t ----------------------------------------------------- (6) 0 0 ( ) I -1 ( ) Barclay Warner(1993) ( ) ( ) V t = - (2002) V t-1 V t-2

65 V t ( ) (Cover) (Open Interset) (2000) O t O t =100% [ln( )-ln( )] R =100% [lnf - lnf -1 ] --------------------------------------------- (7) F F -1 R =100% [lnf - lnf -1 ] -------------------------------------------- (8) F F -1 CR =100% [lncp lnf] -------------------------------------------- (9) CP F t t ECR=100% [lncp - lnf -1 ] --------------------------------------- (10) CP F -1 R -1 =100% [lnf -1 - lnf -2 ] --------------------------------------- (11)

66 F -1 F -2 R i,0 =α 0 +α 1 I i,-1 +α 2 V i,0 +α 3 V i,-1 +α 4 V i,-2 +α 5 O i,0 +α 6 R i,-1 +ε i --------------- (12) I i,-1 V i,0 ( ) V i,-1 ( ) V i,-2 ( ) O i,0 R i,-1 R i,0 ε i ECR i,0 =α 0 +α 1 I i,-1 +α 2 V i,0 +α 3 V i,-1 +α 4 V i,-2 +α 5 O i,0 +α 6 R i,-1 +ε i --------------- (13) I i,-1 V i,0 ( ) V i,-1 ( ) V i,-2 ( ) O i,0 R i,-1 ECR i,0 ε i CR i,0 =α 0 +α 1 R i,0 +ε i --------------------------------------------------- (14) CR i,0 R i,0

67 ε i 74 (OLS) Eviews 3.0 1 way ANOVA,1 way Analysis Of Variance Stoll and Whaley 1990a Stoll and Whaley H 1a 2001 10 H 1b 2002 7 1 H 1c R in µ α i ε in ----------------------------------------------------- (15) R in i n µ α i i ε in, NID 0,σ 2 i=1,2,,i n=1,2

68 7 7 R 0 CR 0 ECR 0 R 0-0.14333-0.25324-0.39658-0.21369 0.258491 0.144572 0.322429 0.209375-0.15645-0.14083-0.17674-0.42521 #N/A #N/A #N/A #N/A 2.223623 1.243658 2.773642 1.801108 4.944498 1.546686 7.693092 3.243989 1.129672 5.442145 1.398376-0.38832-0.05448-1.18814-0.56249 0.065087 13.68951 8.826221 16.20834 7.752379-7.23905-5.97245-9.57467-4.05605 6.450457 2.85377 6.633664 3.696327-10.6066-18.7401-29.3468-15.8127 74 74 74 74 8 p-value=0.000385 10% 8 Dependent Variable: R 0 Method: Least Squares Date: 11/13/04 Time: 09:39 Sample(adjusted): 1 74 Included observations: 74 after adjusting endpoints Variable Coefficien t Std. Error t-statistic Prob.

69 C -0.298779 0.199704-1.496107 0.1393 I -1-0.259843 0.155763-1.668193 0.0999 * V 0 0.027086 0.005536 4.892407 0.0000 *** V -1-0.013973 0.008555-1.633409 0.1071 V -2 0.000465 0.006126 0.075881 0.9397 O 0-0.000288 0.005482-0.052584 0.9582 R -1-0.116911 0.093073-1.256124 0.2134 R-squared 0.301398 Mean dependent var -0.213685 Adjusted R-squared 0.238837 S.D. dependent var 1.801108 S.E. of regression 1.571371 Akaike info 3.831590 criterion Sum squared resid 165.4368 Schwarz criterion 4.049542 Log likelihood -134.7688 F-statistic 4.817636 Durbin-Watson stat 1.792540 Prob(F-statistic) 0.000385 *** * ** *** 10% 5% 1% ( 9) p-value=0.00002 9 Dependent Variable: R 0 Method: Least Squares Date: 11/13/04 Time: 09:22 Sample(adjusted): 1 74 Included observations: 74 after adjusting endpoints Variable Coefficien t Std. Error t-statistic Prob. C -0.032940 0.234733-0.140328 0.8888 I -1-0.025137 0.007372-3.409811 0.0011 *** V 0 0.027283 0.006341 4.302558 0.0001 *** V -1 0.001255 0.007593 0.165296 0.8692

70 V -2-0.016881 0.008341-2.023854 0.0470 ** O 0 0.006072 0.003877 1.566136 0.1220 R -1-0.173295 0.116308-1.489969 0.1409 R-squared 0.367734 Mean dependent var -0.143333 Adjusted R-squared 0.311113 S.D. dependent var 2.223623 S.E. of regression 1.845589 Akaike info 4.153291 criterion Sum squared resid 228.2153 Schwarz criterion 4.371243 Log likelihood -146.6718 F-statistic 6.494682 Durbin-Watson stat 2.395679 Prob(F-statistic) 0.000020 *** * ** *** 10% 5% 1% 10 Dependent Variable: ECR 0 Method: Least Squares Date: 11/13/04 Time: 09:27 Sample(adjusted): 1 74 Included observations: 74 after adjusting endpoints Variable Coefficien t Std. Error t-statistic Prob. C -0.210525 0.291758-0.721574 0.4731 I -1-0.039097 0.009163-4.266917 0.0001 *** V 0 0.030833 0.007882 3.912072 0.0002 *** V -1 0.006372 0.009437 0.675230 0.5019 V -2-0.019384 0.010367-1.869725 0.0659 * O 0 0.003897 0.004819 0.808593 0.4216 R -1-0.076355 0.144563-0.528180 0.5991 R-squared 0.372206 Mean dependent var -0.396578 Adjusted R-squared 0.315985 S.D. dependent var 2.773642 S.E. of regression 2.293946 Akaike info 4.588241 criterion Sum squared resid 352.5666 Schwarz criterion 4.806193 Log likelihood -162.7649 F-statistic 6.620474

Durbin-Watson stat 2.008848 71 Prob(F-statistic) * ** *** 10% 5% 1% 0.000016 *** ( 11)p-value=0.0629 11 Dependent Variable: CR 0 Method: Least Squares Date: 11/13/04 Time: 09:31 Sample(adjusted): 1 74 Included observations: 74 after adjusting endpoints Variable Coefficien t Std. Error t-statistic Prob. C -0.235824 0.142393-1.656151 0.1020 R 0 0.121540 0.064338 1.889078 0.0629 * R-squared 0.047224 Mean dependent var -0.253245 Adjusted R-squared 0.033990 S.D. dependent var 1.243658 S.E. of regression 1.222339 Akaike info 3.266065 criterion Sum squared resid 107.5762 Schwarz criterion 3.328337 Log likelihood -118.8444 F-statistic 3.568614 Durbin-Watson stat 1.877277 Prob(F-statistic) 0.062909 * * ** *** 10% 5% 1%

72 H 0a H 1a ( 12) p-value=0.026961<0.05 Stoll and Whaley 12 ECR 0 R 0 2.034082 1.464917 3.658351 1.114897 74 74 0 114 t 2.241028 P(T<=t) 0.013481 ** 1.658329 P(T<=t) 0.026961 ** 1.980993 * ** *** 10% 5% 1% ( 13) p-value=0.046902<0.05 13 CR 0 2001 10 1998 9 ~2004 10 ~2001 9

1.090672 0.669102 1.294805 0.290616 37 37 0 51 t 2.036564 P(T<=t) 0.023451 ** 1.675285 P(T<=t) 0.046902 ** 2.007582 * ** *** 10% 5% 1% 73 ( 14)p-value=0.091762<0.1 10% R 0 14 2002 7 1998 9 ~2004 10 ~2002 6 1.617616 1.214054 1.277117 0.780834 46 28 0 67 t 1.710708 P(T<=t) 0.045881 ** 1.667916 P(T<=t) 0.091762 * 1.996009 * ** *** 10% 5% 1%

74 2001 12 24 74 2003 2 1. TAIFEX 2.

75 3. 5,3:23-33 4. 4,3:35-51 5. 6. 7. 8. 9. - 10. 1. Board,J.L.G. and Sutcliffe,C.M.S. (1988). The Weekend Effect in UK Stock Market Returns, Journal of Finance and Accounting,Vol.15, 199-213. 2. Board,J.L.G.and Sutcliffe, C.M.S.(1990). Information Volatility, Volume and Maturity an Investigation of Stock Index Futures, The Review of Futures Markets, Vol.9,No.3, 533-549. 3. Chamberlaim,T.W.,Cheung,S.C.and Kwan,C.C.Y. 1989. Expiration day effect of index futures and options Some Canadian evidence, Financial Analysts Journal, Vol.45, No.5, 67-71. 4. Chamberlaim,T.W. (1989). Maturity Effects in Futures Markets: Some Evidence from the City of London. Scottish, Journal of Political Economy, Vol.36, No.1,90-95. 5. Chen,Y., Duan,J.,and Hung,M. (1999). Volatility and Maturity Effect in the Nikkei225 Index Futures, Journal of Futures Markets, Vol.19, 895-909. 6. Chen,C. and Williams,J. (1994). Triple-Witching Hour,the Change in Expiration Timing,and Stock Market Reaction, Journal of Futures Markets, Vol.14, 275-292. 7. Chiang,R.C. and Tapley, T.C. (1983). Day-of-the-Week Effect and the Futures Market, Review of Research in Futures Markets, Vol.2, 356-410. 8. Edwards, F.R. (1988a). Does futures Trading increase stock market volatility? Financial Analysts Journal, 63-69. 9. Edwards,F.R. (1988b). Futures Trading and Cash Market Volatility Stock Index and Interest Rate Futures, Journal of Future Markets, Vol.8, No.4, 421-439. 10. Figlewski,S.(1984). Hedging Performance and Basis Risk in Stock Index Futures Markets, Journal of Finance, Vol.39, 657-669. 11. George, H. K. and Yau, W. J. (2000). Trading Volume,Bid-Ask Spread,and Price Volatility in Futures Markets, Journal of Futures Markets, Vol.20, No.10, 943-970.

76 12. Herbst, A. F. and Maberly, E.D.(1990). Stock index Futures, Expiration Day Volatility and the special Friday Opening: a Note, Journal of Futures Markets, Vol.10, 323-325. 13. Herbst, A. F. and Maberly, E.D. 1991. An alternative methodology for measuring expiration day price effects at Friday s close The expected price reversal- a Note, Journal of Futures Markets,Vol.11, No.6, 751-754. 14. Karolyi, A.G. 1996. Stock market volatility around expiration days in Japan, Journal of Derivatives, Vol.4, 23-43. 15. Kawaller, I. G.. and Koch, P. D.(1987). The Temporal Price Relationship Between S&P500 Futures and the S&P500 Index, Journal of Finance. 1309-1329. 16. Klemkosky, R.C.(1978). The impact of option expirations on stock prices, Journal of Financial and Quantitative Analysis, 507-518. 17. Lee, C. I.(1999). The influence of information arrival on market microstructure Evidence from three related markets, The financial Review, Vol.34, Iss.1, 1-26. 18. Pope, P. F. and Yadav, P. K. 1992. The impact of option expiration on underlying stocks The UK evidence, Journal of Business Finance and Accounting, Vol.19, 329-344. 19. Samuelson, P. A.(1965). Proof that Properly Anticipated Prices Fluctuate Rabdomly, Industrial Management Review, Vol.6, 41-49. 20. Samuelson, P. A.(1976). Is Real-World Price a Tale Told by the Idiot of Chance? Review of Economics and Statistics, Vol.58, 120-123. 21. Segall, J.(1956). The Effect of Maturity on Price Fluctuations, Journal of Business, Vol.29, 202-206. 22. Stoll, H. R. and Whaley, R.E.(1987). Program trading and expiration-day effects, Financial Analysts Journal, March-April, 16-28. 23. Stoll, H. R. and Whaley, R.E. 1990a. Program trading and individual stock returns Ingredients of the triple-witching brew., Journal of Business, Vol.63, 165-192. 24. Stoll,H.R.and Whaley,R.E.(1990b).Program Trading and Individual Stock Returns:Ingredients of the Triple-Witching Brew.Journal of Business,Vol.63, pp.165-192. 25. Stoll, H. R. and Whaley, R. E.(1991). Expiration-day effects what has changed? Financial Analysts Journal, January-February, 58-72. 26. Stoll, H. R. and Whaley, R. E. 1997. Expiration-day effects of the All Ordinaries Share Price Index Futures Empirical evidence and alternative settlement procedures, Australin Journal of Management, Vol.22, 139-174.