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Subject Index 393 Uptick rules, 341,342 Utility function, 356 Value managers, 229,230,235 Value modeling, 33,34,103-133, 272,273 actual returns, 118-121 equity attributes, 108-114 expected returns, 114-118 forecasting DDM returns, 121-123 market psychology, 105409 methodology, 110,113 nake expected returns, 116 pure expected returns, 117, 118 Value stocks, 22,263-265,267-268 VAR model, 40,41,176,177 VARMA models, 4411,178 Vector autoregression WAR) model, 40,41,176,177 Vector autoregression movingaverage (VARMA) models, 4.41, 178 Vector time-series models, 176-178 Week-of-the-month effect, 55 Weekend effect, 142,149 White noise, 174 Window dressing, 39,138 Winsorization, 8911,204 Yield, 111,272-273
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EQUITY MANAGEMENT.
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EQUITY MANAGEMENT Quantitative Anal
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To Ilene, Lauren, Julie, Sam, and E
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CONTENTS Foreword by Harry M. Marko
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Contents ix Chapter 4 Calendar Anom
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Contents xi Implications 272 High-D
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FOREWORD by Harry M. Markowitz, Nob
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Foreword xv In practice, of course,
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Foreword xvii that an RDM would con
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xix
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INTRODUCTION Life on the Leading Ed
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Life on the Leading Edge 3 tion abo
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Life on the Leading Edge 5 clude th
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Life on the Edge Leading 7 stocks t
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Life on the Leading Edge 9 . Quanti
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Life on the Leading Edge 11 By the
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Life on the Leading Edge 13 ple, st
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Life on the Leading Edge 15 find be
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Life on the Leading Edge 17 equal t
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P A R T ONE Selecting Securities A
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Selectine Securities 21 stocks. Suc
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selecting secunties 23 unmoved by s
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CHAPTER 1 The Complexity of the Sto
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The Complexity of the Stock Market
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The Complexity of the St& Market 31
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The Complexity of the St& Market 37
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The of the Complexity Stock Market
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The Comdexitv of the Stock Market 4
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V 7
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Disentangling Equity Return Regular
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Disentangling Equity Rehun Regulari
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Disentangling Equity Rehun Regulari
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64 selecting securities aged 59 bas
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66 selecting Securities FIGURE 2-2
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68 selecting securities FIGURE 2-3
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70 selecting securities tic of 17.8
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72 selecting securities Some Implic
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74 selecting securities Table 2-2 d
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I l
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82 Seleaine Securities these time-s
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84 selecting securities of 9.7. The
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86 selecting securities 2. There ar
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and deferring gains [as per Constan
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90 selecting securities 35. For exa
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92 selecting securities 49. Before
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94 selecting securities Ball, R. 19
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96 selecting securities Iowa, Ames.
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98 Seleaine securities James, W. an
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100 selecting securities Nicholson,
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102 selecting securities Tinic, S.
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104 selecting securities VALUE AND
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106 selecting securities Street Jou
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108 Selectine Securities This is no
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110 selecting securities plaining s
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114 selecting securities transient
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116 selecting securities Na'ive Exp
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118 selecting securities (1988c)l.
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l20 selecting securities average of
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124 selecting securities We have de
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126 selecting securities movements
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l28 selecting securities 34. Pensio
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130 selecting securities Einhom, S.
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132 Selectine securities Poterba, J
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136 selecting securities The availa
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138 selecting securities subsequent
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142 Selectine securities FIGURE 4-2
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144 selecting securities others usi
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146 Selectine Securities FIGURE 4-3
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l48 SelectirlE securities a market
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150 . selecringsecurities There is
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152 selecting securities 1981 and 1
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154 seleding securities Chari,V., R
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156 Selectine securities McNichols,
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160 selecting securities that betwe
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162 selecting securities Handa, Kot
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164 selecting securities risk does
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166 selecting securities returns ac
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168 selecting securities ket return
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~ more 170 Selectine securities tiv
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h h h h W v ) 000000 m N m w r "80q
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~~~ ~ ~~ 174 selecting securities A
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176 selecting securities hibit feed
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178 Seledine securities multivariat
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-2 1982 1983 1984 1985 1986 1987 18
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182 selecting securities rate produ
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184 Seledine Securities 11. Further
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186 Seleaine securities REFERENCES
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188 selecting securities Fama, E. a
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190 selecting securities Miller, E.
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194 Selectine Securities modeling p
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196 selecting securities surement e
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Earnings Estimates, Predictor Speaf
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216 selecting securities The Return
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U) J U) C Q) U) C S r jo-0 eke I C
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?68% $1-0 I 220
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222 Seleaine Securitiff ings data f
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224 selecting securities 4. The dif
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226 selecting securities 20. Note t
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230 Managing Portfolios have concen
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232 Managing Portfolios portfolios.
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234 Manaeine Portfolios of investme
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236 Managing Portfolios There is, n
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238 Managing Portfolios bound to ig
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242 Managing Portfolios mance attri
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244 Managing Portfolios those inves
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246 Managing Portfolios vide a bigg
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248 Managing Portfolios If the firm
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250 Managing Portfolios REFERENCE J
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252 Managing Portfolios This invest
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254 Managing Portfolios FIGURE S-l
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256 Managing Portfolios manager‘s
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258 Managing Portfolios FIGURE S 4
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260 Managing Portfolios Imposition
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264 Managing Portfolios Recent stud
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High-Definition Style Rotation 267
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0 N
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272 Managing Portfolios TABLE 10-2
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274 Managing Portfolios ing pure re
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276 Managing Portfolios HIGH-DEFINI
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278 Managing Portfolios - FIGURE 10
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280 Managing Portfolios FIGURE 10-S
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282 Managing Portfolios REFERENCES
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284 Expanding Opportunities and “
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286 Expanding Opportunities such as
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292 Expandingoppo~ties F I G U R E
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2% ExpandingOpportunities FIGURE 11
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308 Expanding Opportunities FIGURE
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310 Expanding oppo~ties -and- . 199
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340
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Page 403 and 404: 382 Name Index Clarke, Roger G., 25
Page 405 and 406: 384 Name Index Levis, M., 174,175,1
Page 407 and 408: 386 Name Index Swanson, H., 183,188
Page 409 and 410: 388 Subject Index Disentangling equ
Page 411 and 412: 390 Subied Index MAE, 170,182 Marke
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