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Dreman D. — Contrarian Investment Strategies in the Next Generation
Dreman D. — Contrarian Investment Strategies in the Next Generation



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Íàçâàíèå: Contrarian Investment Strategies in the Next Generation

Àâòîð: Dreman D.

Àííîòàöèÿ:

All stock-market investors embrace the motto "Buy low, sell high." Few act accordingly, however, for to do so would require that we go against the crowd, buying stocks that are out of favor and selling Wall Street's darlings. Powerful psychological forces prevent us from pursuing a contrarian investment strategy, although it consistently beats the market, according to David Dreman, a seasoned money manager and long-time columnist for Forbes magazine. One of the Street's best-known and most articulate contrarians, Dreman has updated his 1982 investment classic, Contrarian Investment Strategies, using recent research on investor psychology. His revised book combines proven techniques for selecting undervalued stocks with fresh insights on how to defy, and thereby profit from, the popular fears or enthusiasms of the moment.

Dreman pays only cursory attention to a company's business fundamentals in deciding whether to invest in it. Instead he looks for stocks trading at below-market multiples of per-share earnings, cash flow, book value, or dividend yield. Historically, Dreman claims, stocks that are cheap by any of these measures have tended to outperform the market average, although this is disputed by those who believe the stock market is efficient and therefore impossible to beat except by accident. Dreman devotes many pages to debunking their research. He offers a new refinement of his low-price strategy, which involves picking the cheapest stocks within industries, to create a diversified, contrarian portfolio.

Contrarian Investment Strategies: The Next Generation is full of practical and provocative advice, but some of its most interesting passages delve into the abstruse findings of cognitive psychology. This research has proven that we are woefully inadequate as intuitive statisticians. Interpreting data to make predictions about the probability of future events, we consistently make the same mistakes. For example, we exaggerate the likelihood that current trends will continue, even when they are historically exceptional. (Logic dictates that trends are more likely to regress toward the mean.) This fallacy explains why most Wall Street insiders were gloomiest about stocks in 1981, after six years of falling prices, just before the beginning of the greatest bull market ever. Is today's widespread optimism among investors a reason for caution? Dreman thinks so.

It seems our brains are hard-wired to underperform the market. That's why few investors can keep to a contrarian approach. Dreman recommends buying stocks when prices fall, the worse the panic the better. But that requires overriding powerful instincts.

Besides reflecting Dreman's wide reading in finance, psychology, and history, his book also displays his sometimes windy and self-important writing style. At 464 pages, the book is not a quick read. But its intellectual depth and thoroughly tested advice make many other investment books look paltry and superficial by comparison. Serious, independent investors will find it rewarding.


ßçûê: en

Ðóáðèêà: Ýêîíîìèêà è ôèíàíñû/

Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö

ed2k: ed2k stats

Ãîä èçäàíèÿ: 1998

Êîëè÷åñòâî ñòðàíèö: 464

Äîáàâëåíà â êàòàëîã: 12.11.2006

Îïåðàöèè: Ïîëîæèòü íà ïîëêó | Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
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Ïðåäìåòíûé óêàçàòåëü
"Barr's Bionic Betas"      299
"Big bath theory"      104
"Bubbles"      265—269 348—372 393
"Contrarian Investment, Extrapolation, and Risk" (Lakonishok, Shleifer andVishny)      153 154
"Dark Side of the Moon" study      253—255
"Higgledy Piggledy Growth" (Little)      103
"How to" investment books      186—187
"Margin of safety" principle      49 172 275 295
"Prudent man rule"      304
"Survivorship bias"      326 332 333
3Com      55 93
A-N Research Corporation      428n
Abarbanell, Jeffrey      131 391
accounting      50 51—52 79 104 141 170 267
Accustaff      366
acquisitions      385 390
Advantage, competitive      141—142
Alex Brown & Sons      364 367
Alice's Adventures in Wonderland (Carroll)      69
All-Star Research Team      88—89 105 107
Alpha      400n
Amati Communications      366
America Online      239 368
American Association of Individual Investors      203
American Depository Receipts (ADRs)      208—209
American International Group      194
American Stock Exchange (AMEX)      91 146 153 170 319 338 363
Analysis of variance (Anova)      77
Analysts, financial      67—136
Analysts, financial, "hit rate" of      108 109
Analysts, financial, bonuses for      104—105
Analysts, financial, buy recommendations of      106—107
Analysts, financial, institutional clients of      88—89 104—105
Analysts, financial, judgment of      78—79 107—109 113
Analysts, financial, on All Star team      88—89 105 107
Analysts, financial, overconfidence of      21 81—83 87 98—99 107—109 114—116 119 126 128—129 130 135 172 199 245 284
Analysts, financial, reputations of      67—68 88—89 104—107
Analysts, financial, research by      74—75 88 89 223—224 246 315
Analysts, financial, salaries of      89—90
Analysts, financial, sales force and      88—89 104—105
Analysts, financial, sell recommendations by      105—107
Analysts, financial, short-term record of      221—222 224 236
Analysts, financial, surveys of      90—100 102—103 see earnings
Anchoring bias      233—234
Antar, Eddie      51
Art collecting      237 242 279 282 315 370
Ascend Communications      55
Assets: allocation of      57 58
Assets: capital and      185 400—404 424n 442n
Assets: liabilities vs.      171
Assets: net      52—53 210
Assets: of mutual funds      30—31
Assets: productive      294
Assets: risk-free      401
Assets: underlying      53
Assets: value of      52 293
AST Research      141—142
Astrology      44—45 48 398
AT&T      207 340
Atkinson, T.R.      243
Atlas Tack      321
Auction houses      242 315
audits      343 344
Automobile industry      72 74 178—181
Availability heuristic      231—232
Averages, law of      224
Bachelier, Louis      46
Bane One      106
Bank Credit Analyst      72
Bankers Trust      63
Bankruptcy      51 319 325 353
Banks: capitalization of      266—267 278
Banks: crisis in (1990)      265—269 393
Banks: crisis investing and      265—269 271—272 273 276
Banks: industry for      106 182—183 184 304 326
Banks: loans by      266—267 272 277—278 351 354 440n
Banks: management of      266 267 269
Banks: regulation of      266 267
Banks: trust departments of      30 48 88 102 294
Banks: volatility of      302
Banks:real estate investments of      265 266—267 269 440n
Banz, Rolf      317—325 326 327 328 333
Barren's      203 204 205 315 396
Baruch, Bernard      71 355
Base rate      225—226 229—230 232—233 236 237
Baseline Data Service      366
Basu, Sanjoy      148—149 151 331
Behavioral Finance      158
Bell South      106
Bell, Alexander Graham      71
Berlin, Irving      70
Bernard, Victor      131 391
Berry, Michael      91 119 147n
Beta      145 151 153 297—301 352 381 383 395 396 400—401 442n
Biotechnology industry      55 200 362 364 365
Black, Fischer      385
Blue Chip Economic Indicators      72 73
Bogle, John C      31 155
Bonds: capital of      294
Bonds: compound interest on      304
Bonds: crisis investing for      273—275
Bonds: default rate for      243 244
Bonds: discounts on      273
Bonds: government      28—29 234 273 274—275 278 280—292 293 294 295 297 301 304 306—315 401 403 440n
Bonds: interest rates and      168 234 240
Bonds: junk      51 237 243—245 257 297
Bonds: long-term      240 273 274—275 278 282 307
Bonds: market for      234—235 240
Bonds: municipal      247 273 404
Bonds: portfolio for      244
Bonds: return on      228 244 278 280—296 305—315
Bonds: risk of      305—315
Bonds: short-term      295
Bonds: stocks compared with      280—296 305—315
Bonds: taxation and      273 284 290—292 305—315 404
Bonds: trends in      72 223 234—235
Bonds: underwriting of      106
Bonds: volatility of      168—169
Bonds: war      288—289
Bonds: zero-coupon      273
Bonds:inflation and      273—274 280—290 291 292 294 295 304 305—315
Book value: price vs.      see price-to-book value ratio (P/BV)
Book value: relative      52—53
Boston Chicken      106 369 371
Brealey, Richard      103
Breen, William      432n
Buffett, Warren      54 56 84 382
Burns, Arthur      287
Business Week      72 228 368
businesses      see corporations
Canary Wharf Project      353
Capital Asset Pricing Model (CAPM)      400—404 424n 442n
Capital gains: as return      146 195 196
Capital gains: long-term      23
Capital gains: taxation of      186 187 196 403—404 441n
Capital Market Theory      149
Capital: appreciation of      23 146 161 162 164 166 169 195 196
Capital: assets and      185 400—404 424n 442n
Capital: bond      294
Capital: debt vs.      171 176 181 275 423n
Capital: erosion of      294 304 305—315
Capital: human      403
Capital: limited      186—190 213
Capital: markets for      149 399—404
Capital: preservation of      21 49 154 207 275 303—304 311 314
Capital: working      176
Carlyle, Thomas      322
Carroll, Lewis      69
Cascade Communications      93 233
Case rate      225—226 229—230 232—233 236 237
Cash flow: analysis of      50 53
Cash flow: forecasts of      101
Cash flow: growth in      248—255
Cash flow: one-time gains and      5
Cash flow: price vs.      see price-to-cash flow ratio (P/CF)
Cash flow: taxation and      50 53 163
Cash flow: value and      148
Cassidy, John      378
Center for Research in Security Prices (CRSP)      153 154 321n 323n
Cetus      362
Charts      42—43 45 84 217
Chrysler      170 172 340
Churchill, Winston S.      71 261
Citicorp      106
Clark, Jim      368
Clews, Henry      217
Cognitive biases      19 21 216—237 348 372
Cohen, Abby Joseph      16
collectibles      237 241—242 279 280 282 315
Columbia Savings and Loan      51
Columbia/HCA Healthcare Corporation      175
commissions      31 57 61 104—105 107 166 186 196 321 322 323 337—338
Common Stocks as Long-Term Investments (Smith)      283—284
Compaq      54 64 82 213
CompuServe      54 367
Compustat database      119 120 143—144 146 147—148 152 153 154 155—156 187 194 248 253—255 431n 432n
Computer industry      53 54—55 71 93 141—142 220 277 326 364
Computing and Tabulating Company      54
Conseco      106
Construction industry      110—111 351—352 353 358
Consumer Price Index      223
Contrarian investment strategy      149—159
Contrarian Investment Strategy (Dreman)      146 256 280 318 369
Contrarian investment strategy, absolute vs. relative      200 213
Contrarian investment strategy, academic research on      150 151—153
Contrarian investment strategy, acceptance of      17—19 24 149—159 397—398
Contrarian investment strategy, alternatives to      204—205
Contrarian investment strategy, by industry      193—213
Contrarian investment strategy, consistency of      190—192 193
Contrarian investment strategy, criticism of      23 149—159 318 325—327 328
Contrarian investment strategy, eclectic approach to      171—173 186 204 212
Contrarian investment strategy, efficient market hypothesis (EMH) vs.      140 150 151—153 154 178 374 376 384 385 396
Contrarian investment strategy, for crisis investing      261—278 374
Contrarian investment strategy, for portfolios      85n 160—192
Contrarian investment strategy, forecasts vs.      139 140—141
Contrarian investment strategy, interlinking components of      23
Contrarian investment strategy, investor psychology and      18—19 158—159 397—398
Contrarian investment strategy, market performance and      154—157 159
Contrarian investment strategy, methodology of      139—159 193
Contrarian investment strategy, price vs. value in      230—231 393—394 446n
Contrarian investment strategy, profit in      139 248—255
Contrarian investment strategy, risk and      145—149 151 153 268—269 275—278
Contrarian investment strategy, rules for      see rules contrarian
Contrarian investment strategy, statistical analysis of      150—157
Contrarian investment strategy, visibility and      141—145 158
Cooper, Gary      69
Corporations: failure rate for      170 367—369 370
Corporations: financial position of      171—173 174 275 276 298
Corporations: net worth of      49 51
Corporations: profits of      50 51 256—257 278
Corporations: startup      114—115 332 362 see
Correlations, statistical      84 380—381
Country funds      205—210 213
Cowles Commission      228
Crawford, Archibald A.H.      44—45
Crazy Eddie      51
credit cards      277—278
Crisis investing      261—278
Crisis investing, "margin of safety" in      275
Crisis investing, banks and      265—269 271—272 273 276
Crisis investing, bottoming out and      269 270
Crisis investing, buy-and-hold strategy for      263—264
Crisis investing, contrarian approach to      261—278 374
Crisis investing, credibility and      277—278
Crisis investing, dividends and      271—276
Crisis investing, essentials for      266—268
Crisis investing, event triggers and      261
Crisis investing, for bonds      273—275
Crisis investing, for panics      265—266 267 269—271
Crisis investing, for specific crises      262—266
Crisis investing, investor overreaction and      261—262 265 269—271 276—278
Crisis investing, market reaction in      261—264
Crisis investing, opportunities for      261 268 316—317
Crisis investing, pharmaceuticals and      272—273 274
Crisis investing, portfolios for      263—264 268—269 275 276 278
Crisis investing, price trends and      263
Crisis investing, price-earnings ratio (P/E) and      268 271 272—274 276
Crisis investing, price-to-book value ratio (P/BV) and      266—267 271 272 273 274 276
Crisis investing, price-to-cash flow ratio (P/CF) and      276
Crisis investing, probabilities and      266
Crisis investing, recovery and      263—264
Crisis investing, return on      261 263—264 278
Crisis investing, risk management in      268—269 275—278 298
Crisis investing, rules on      262 275
Crisis investing, self-confidence in      261 262
Crisis investing, sell mentality vs.      262
Crisis investing, value and      261—262 271—275 276
Crowd, The (Le Bon)      356—357
Culp, Michael      105
Cumulative average residuals      386n
Custer, George      68
Day of the Jackal, The (Forsyth)      69
Debentures      305
DeBondt, Werner      256
Debt: capital vs.      171 176 181 275 423n
Debt: credit card      277—278
Debt: defaults on      208 266—267 272 277—278 305 351 354 440n
Debt: financial instruments for      313—315
Debt: government      288—289 290
Debt: load of      51 298
Decca Recording Company      70
Decision-making: forecasts as basis of      74 79—80 84 113 115—116
Decision-making: information processing in      76—77
Decision-making: investment errors and      19 38 214—215 216 218 234—235 344
Decision-making: judgment and      19 22 38 193 215—216 344
Deep Blue      391 394
Deficits, budget      288—289
Deflation      282 287—288 295
Degeorge, Francois      104
Dell Computer      131 220
DFA Small Company Fund      328—329
Diagnosis      75—76 77 80 81 109 429n
diamonds      241—242 280
Diana Corporation      366
DiCarlo, Michael      366
Dickens, Charles      69
Digital Equipment Corporation (DEC)      71 220
Dimensional Fund Advisors      327—329
Dingle, John      36
Disciplined Investment Advisors      221
Dividends: by industries      194—203
Dividends: crisis investing and      271—276
Dividends: cuts in      267 305 391
Dividends: expected      52 53 79 101
Dividends: portfolios and      161—162 167—169 173 176 178 179 181 183—185 187 188
Dividends: price vs.      see price-to-dividend ratio (P/D)
Dividends: reinvestment of      167n 168 197
Dividends: yield of      53 118 146 154—158 161—169 178 181 183—185 194—203 228 252 267 271—276 327 331 386
Dodd, David      49—56 172 256 295 298 305—306
Dollar, strength of      207 209 280 281 282 287n 288—289 294 297 304 311
Dorfman, John      85 104
Dow Jones Industrial Average      15 17 62 144—145 228 239 242 262 263 339—400 349 381
Dreman Foundation      108n 281
Dreman Value Management L.L.C.      18
Drexel Burnham      244
Dulles, John Foster      68—69
Dun &Bradstreet      115
Duracell      132
Earnings: analysis of      50 51—52 60—61 76 256—257
Earnings: by industry      95—96 100 101 199—200
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