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84 selecting securities of 9.7. The reader may wonder why this slope coefficient differs so much from one; the answer in lies our use of a normalized historical beta measure, which is scaled differently from the predictive, rawform beta. We noted previously that the purification of the low-P/E effect caused its market-related component to dissipate. Similar diminution occurred for the market sensitivity of zero yield, cash/price, and co-skewness. The market sensitivities of the low-price and book/price measures actually reverse sign when purified. Unlike their pure counterparts, nake anomalies are clearly unsuitable for beta prediction, because they serve as proxies for each other and their market sensitivities are not additive. A comparison of the nayve and pure anomaly intercepts in Table 2-4 with the average monthly anomaly returns in 2-1 Table indicates that the statistically significant anomalies are generally robust to market-return adjustment. For example, the pure saledprice intercept is 15 basis points, with a t-statistic of 3.4, while the nake monthly average return is 17 basis points, with a t-statistic of 3.7. This similarity holds despite the statistically significant slope coe cient for pure sales/price. Also, our earlier findings on the pure January seasonality of various anomalies are robust to market-return adjustment. In fact, our results become more conclusive for the relative-strength measure. Earlier, we found the difference between January' and non- January returns to be in the expected direction, but not statistically significant. However, once we adjust for the average excess market return in January of 2.3 percent, the difference between January and non-January intercepts is significant at the 1 percent level. This further supports our contention that negative pure returns to relative strength in January arise from profit taking associated with tax-ga deferral. As we indicated earlier, the presence of equity return regularities calls'into question the EMH and current asset pricing models, including the CAPM and APT. Also, the existence of significant pure anomaly intercepts, in the time-series regressions of anomaly returns on excess market returns, raises questions about the va of a multifactor CAPM.6l
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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 Stock Market
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The Complexity of the St& Market 31
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Page 85 and 86: 64 selecting securities aged 59 bas
Page 87 and 88: 66 selecting Securities FIGURE 2-2
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Page 115 and 116: 94 selecting securities Ball, R. 19
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136 selecting securities The availa
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138 selecting securities subsequent
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140 selecting securities FIGURE 4-1
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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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Earnings Estimates, Predictor Speci
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0 a I "F c2 . 2 0
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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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240 Managing Portfolios expected to
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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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290 ExpandingOpprtunities vided sho
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292 Expandingoppo~ties F I G U R E
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294 Expanding Opportunities F I G U
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2% ExpandingOpportunities FIGURE 11
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298 Expanding Opportunities Typical
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300 Expandingopportunities F I G U
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302 Expanding Opportunities news st
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304 ExpandingOpportunities dinate l
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306 ExpandingOpportunities Also, ma
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308 Expanding Opportunities FIGURE
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310 Expanding oppo~ties -and- . 199
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312 ExpandingOpportunities applied
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314 Expanding Opportunities A secur
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316 ExpandingOpportunities in 1987,
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318 Expanding Opportunities the $4.
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320 Expanding Opportunities portfol
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322 Expanding Opportunities managem
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324 Expanding Opportunities The sec
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326 Expanding Opportunities Overall
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328 Expanding Opportunities risen o
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330 Expanding Opportunities lio and
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332 Expanding Opportunities FIGURE
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334 Expanding Opportunities , use o
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The Long and Short on Long-Short 33
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340
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Uptick rules can delay, or in some
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344 Expanding Opportunities expecte
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Nonsymmetrical distributions of sec
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11. We assume a futures margin of 4
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350 Expanding Opportunities see, lo
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352 Expanding Opportunities case, t
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Trading Costs Some other costs of l
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356 Expanding Opportunities We use
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358 Expanding The optimal portfolio
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360 Expanding Opportunities N H = C
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362 Expanding Opportunities . Consi
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364 Expanding Opportunities mark se
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366 Expanding Opportunities not be
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370 Expanding Opportunities securit
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372 Expanding Opportunities maximiz
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374 ExpandingOpportunities uity ret
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376 Expanding Opportunities may be
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378 Expanding Opportunities from se
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hance good performance, but they ca
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382 Name Index Clarke, Roger G., 25
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384 Name Index Levis, M., 174,175,1
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386 Name Index Swanson, H., 183,188
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388 Subject Index Disentangling equ
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390 Subied Index MAE, 170,182 Marke
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392 Subiect Jndex Security analysis
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