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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
Psychology, investor, social reality and      214 357—359 361 368
Psychology, investor, speculation and      354 365 366 368—369
Psychology, investor, uncertainty and      360 361
Psychology, investor, value standards and      352 354 355 356 364 see investor
Pullerston, William T.      68
Purchasing power      281 282 287n 288—289 294 297 304 311
Pure Software      366—367
Putnam, Samuel      304
Quarantelli, Enrico      269 270
Quintiles      119 143 202—203
Rand Corporation      115
Random Walk Down Wall Street, A (Malkiel)      31
Raskob, John Jacob      284
Raymond James      104—105
real estate      181—183 184 295 304 315 340 351—354 357 358 369n 370
Real estate investment trusts (REITs)      340
Real estate, bank investments in      265 266—267 269 440n
Recessions      72 73 96 97—99 179 219 288
Regression to the mean      227—230 235 256—257 439n
Reichman Brothers      353
Reinforcing events      130 132—134 135 247
Reinganum, Marc      317 318 325 328—329 331 333
Renoir, Pierre-Auguste      70 242
Representativeness heuristic      216—221 222
Resolution Trust      353
Retirement funds      161 187 294—295 310 323 327
Return: above-market      386—389
Return: annual      41 146—147 149 228—229 281 290—291
Return: average      227—230 234 235 256—257
Return: capital gains as      146 195 196
Return: comparison of      279—296
Return: compounded rates of      146—147 187 308—309 329
Return: inflation and      280—290 291 292 295
Return: long-term rate of      122 228—230 236 279—296
Return: on bonds      228 244 278 280—296 305—315
Return: on crisis investing      261 263—264 278
Return: on equity (ROE)      51 176 248—255 284
Return: on portfolios      62 159 161—165 186—192 211—212 278 400—401
Return: on small capitalization stocks      23 325—333 335—336 339
Return: price-to-earnings ratio (P/E) and      145—149 150 153—157
Return: risk and      279 298—302
Return: taxation and      284 290—292 295
Return: value-weighted      325—327
Reynolds, Burt      69—70
Risk      297—315
Risk, academic research on      300—303 309—310
Risk, as semivariance      303
Risk, as volatility      297—303 376 399—401 403
Risk, assessment of      22—23 62—63 170 399—404
Risk, avoidance of      303—304
Risk, beta for      145 151 153 297—301 352 381 383 395 396 400—401 442n
Risk, contrarian strategy and      145—149 151 153 268—269 275—278
Risk, definition of      49 296 297—303 310—311 314—315 376—377 399—404 424n
Risk, efficient market hypothesis (EMH) and      145—149 151 153 297—303 382 383 384 395 396
Risk, inflation and      297 305—315
Risk, management of      268—269 275—278 298 299
Risk, modern portfolio theory (MPT) and      399—404
Risk, nonsystematic (diversifiable)      400n
Risk, of bonds vs. stocks      305—315
Risk, of small capitalization stocks      323 330 335
Risk, optimal      400—401
Risk, price-to-earnings ratio (P/E) and      145—149 151 153
Risk, probabilities and      307—315
Risk, rationality and      298 376—377 399—404
Risk, returns and      279 298—302
Risk, spreading of      170 268—269 275—278
Risk, systematic (market)      400n
Risk, taxation and      297 305—315
Ritter, J.      326 363 364 369
Robertson Stephens      364 367 398
Roll, Richard      386
Rosenberg, Barr      151 299
Rotnem, Ralph A.      381
Rules, contrarian investment      405—410
Rules, contrarian investment, as safeguards      21—22
Rules, contrarian investment, for "best" vs. "worst" slocks      129 136 139—140 158
Rules, contrarian investment, for economic conditions      104
Rules, contrarian investment, for forecasts      96 102 124 136
Rules, contrarian investment, for industries      197 211
Rules, contrarian investment, for information processing      83 87
Rules, contrarian investment, for investment errors      221 224 229—230 231 236—237
Rules, contrarian investment, for market timing and technical analysis      47
Rules, contrarian investment, for negative and positive surprises      129 136
Rules, contrarian investment, for overconfidence      99 115
Rules, contrarian investment, for portfolios      165 167 169—170 171
Rules, contrarian investment, for small capitalization stocks      331 338
Rules, contrarian investment, on "base rate" vs. "case rale"      236 237
Rules, contrarian investment, on average rate of return      256—257
Rules, contrarian investment, on crisis investing      262 275
Rules, contrarian investment, on immediate success      231
Rules, contrarian investment, on investment similarities      221
Rules, contrarian investment, on investor overreaction      256—257
Rules, contrarian investment, on long-term returns      229—230 236
Rules, contrarian investment, on prior probabilities      236
Rules, contrarian investment, on short-term records      224 236
Rules, contrarian investment, on visibility      257
Russell 2000      63 327 333
Sales      51 78 141 246 248—255
Sales force      88—89 104—105
Salomon Brothers      89 106
Samuels, William      361
Samuelson, Paul      37 377 378 379
Santayana, George      373 374
Saunders, Edward      394—395
Savings      17 49 67—68 285 310
Savings and loan industry      51 182 244 265 289 351 353 354
Schmidt, Helmut      240
Scholes, Myron      35 317 327 376 390
Scudder New Europe      210
Securities and Exchange Commission (SEC)      32 334—335 336 337 342 353 370 389 390
Security analysis      see fundamental analysis
Security Analysis (Graham and Dodd)      49—56 256 305—306
Security Data Company      244
Semivariance      303
Seyhun, H.Nejat      363
Shaffer, Richard      369
Shakespeare, William      70
Sharpe — Lintner — Mossin form of CAPM      400—404 424n
Sharpe — Treynor Index      424n
Sharpe, William      35 57 297 299 375 400—401 404 424n
Sherif, Muzafer      360—361
Shiller, Robert      362—363 392
Siegel, Jeremy J.      280 281
Silver      242 288
Simon, Herbert      75 215
Sinquefield, Rex      228 325 327—329
Slovic, Paul      77 277
Small capitalization stocks      152 302 315 317—339
Small capitalization stocks, "predictable reversal" for      328—329
Small capitalization stocks, "survivorship bias" in      326 332 333
Small capitalization stocks, academic research on      317—329
Small capitalization stocks, as IPOs      326—327 332—333
Small capitalization stocks, buy-and-hold strategy for      330 331
Small capitalization stocks, capitalization of      319—320 329 331 332
Small capitalization stocks, commissions for      321 322 333 337—338
Small capitalization stocks, competition of      333
Small capitalization stocks, contrarian strategy for      318 325—327 329—333
Small capitalization stocks, diversification and      330 331
Small capitalization stocks, dividend yields of      327 331
Small capitalization stocks, efficient market hypothesis (EMH) and      317 318 322 396
Small capitalization stocks, Fortune chart on      319 320
Small capitalization stocks, illiquidity of      320—321 322 323 324 326 331 332 335—336 339
Small capitalization stocks, indexes for      63n 340—341
Small capitalization stocks, large capitalization stocks vs.      323—324 328—329 332 434n 435n
Small capitalization stocks, low P/E strategy for      317—318 324—325 329—333
Small capitalization stocks, market-makers for      326n 336—337
Small capitalization stocks, mutual funds for      63n 322 327—329 333 339 343
Small capitalization stocks, myths about      317—325
Small capitalization stocks, on Nasdaq      326 333—339 344
Small capitalization stocks, on NYSE      318—321
Small capitalization stocks, price-to-book value ratio (P/BV) of      327 331—332
Small capitalization stocks, price-to-cash flow ratio (P/CF) of      331
Small capitalization stocks, price-to-dividend ratio (P/D) of      327 331
Small capitalization stocks, prices of      319 321—322 323 324 325
Small capitalization stocks, returns on      23 325—333 335—336 339
Small capitalization stocks, risk of      323 330 335
Small capitalization stocks, rules for      331 338
Small capitalization stocks, S&P 500 and      325—329 333
Small capitalization stocks, spread for      321—324 326n 333—339
Small capitalization stocks, statistics on      318—327 329 330
Small capitalization stocks, taxation and      324
Small capitalization stocks, transaction costs for      321 322 326 330 332 333—339
Small capitalization stocks,"small cap effect" of      317 326 329—330 333 396
Small numbers, law of      221—224 235
Smith Barney      106
Smith, Edgar Lawrence      283—284 292
Software industry      54—55 364
South Sea Bubble      206 355 361 370 371
Spain Fund      210
Spiegel May Stern      321
Spread, bid/ask      166 321—324 326n 333—339 402
Spyglass      366 367
Standard & Poor's 500      23 31 52—53 57 58 62 63 85 90 93 98 100 153 172 176 178 191 203 206—209 213 218 267 272 325—329 333 340 363—365
Stansky, Robert      402
Statistics: charts for      42—43 45 84 217
Statistics: computer analysis of      34 35 43—44 95 253—255
Statistics: contrarian strategy and      150—157
Statistics: correlations in      84 380—381
Statistics: in investment errors      215—216 222—223 227 228
Statistics: intuitive      215—216 227 228
Statistics: of efficient market hypothesis (EMH)      34 35 61—62 374 379 380—383 384 392 394
Statistics: on earnings surprises      117 386
Statistics: on economic activity      223—224
Statistics: on small capitalization stocks      318—327 329 330
Statistics: representative samples in      222—223
Stattman, Dennis      151
Stern, Mitchell      119
Stiglitz, Joseph      378
Stock market crash (1929)      15—17 71 216—219 234 283—285 324
Stock market crash (1987)      32 35 63—64 180 216—219 220 221—222 228 239 263 264 322n 336 353
Stock market: bear      33 154 156—157 160 162 166 169 186 191 200—201 221—222 239 264 303
Stock market: bull      15 16 17 33 49 166 186 202 228 235 239 284 358 369
Stock market: casino analogy for      27—28 88 136 186 187 398
Stock market: corrections in      240—241 248
Stock market: fashions in      234—235 340 359 373
Stock market: free-falling      21
Stock market: history of      228—229 235 292—294 315 372 373
Stock market: indexes for      63n 339—341
Stock market: pitfalls of      315 316—344
Stock market: postwar      282 283 285—290 295 296 307 308
Stock market: randomness in      31 85 102—104
Stock market: reaction of      60—61 62 116 141 213 223 261—264
Stock market: trading mechanisms in      36 117—118
Stock market: two-tier      146 235
Stock market: volatility of      15—17 35—36 42—43 56—57 60—61 228—229 235 239—240 282 296 380—381
Stock market:"go-go"      16 366 368—369
Stocks for the Long Run (Siegel)      280
Stocks: "best" vs. "worst"      20 118—140 142 158 162—167 193—196 200 214 246—255 280 391—392
Stocks: "businessman's risk"      165—166
Stocks: blue chip      16 72 73 165—166 170 221 281 284 295 308 314 318—319 324
Stocks: bonds compared with      280—296 305—315
Stocks: buying of      106—107
Stocks: common      29 146 228—229 234 297—298 307 309
Stocks: concept      226 235 332 363 370
Stocks: cyclical      179—180
Stocks: delisted      321 340
Stocks: discount on      203 205 272 338
Stocks: fundamentals of      16 64 174 183 217 218 231 248 249
Stocks: growth      20 53—55 101 118 141—145 156 178 191 232 235 239 298 303 341 366
Stocks: inflation and      280—290 291 292—294 295 304 305—315
Stocks: middle grouping of      123 124 125 129 135
Stocks: multiples of      101 146 147 158 177 203 207 212 213 252
Stocks: options on      367
Stocks: out-of-favor      139—159
Stocks: over-the-counter      146 319 326 338
Stocks: penny      333
Stocks: preferred      305
Stocks: premiums on      364
Stocks: prices of      see prices stock
Stocks: quotes for      335—336
Stocks: secondary offerings of      390 392—393
Stocks: selling of      101 105—107 160 210—213 262
Stocks: splits of      285—289 393
Stocks: taxation and      290—292 295 305—315
Stocks: valuation of      16 20 43—56 86 94 96 101 125 131 141 142 158—159 162—163 177 179 194 246 248 254 268
Structure of Scientific Revolutions, The (Kuhn)      395
Summers, Lawrence      383
Summit Partners      365
Sun Microsystems      93
Surprises, as market mechanism      117—118
Surprises, earnings      117—136
Surprises, event triggers in      130—134 135 247 261
Surprises, forecasts and      90 94 97 112 117 118 119—120 125 127 128—129 135 136 139 140—141 391—392 432n
Surprises, investor psychology and      118 135 136 139 245—246 247 251
Surprises, long-term effects of      134—135
Surprises, market performance and      121 122 123 126
Surprises, negative      119—124 126—129 130—132 136 177 245—246 247 268 391
Surprises, positive      123—126 129 130 131 132 247 391 432n
Surprises, quarters of      121—123 124 126 132 133
Surprises, reinforcing events in      130 132—134 135 247
Surprises, selling and      212
Surprises, statistical basis of      117 386
t-test      381 434n
Tactical asset allocation (TAA)      57
Taxation: bonds and      273 284 290—292 305—315 404
Taxation: brackets for      156 308 441n
Taxation: cash flow and      50 53 163
Taxation: income      156 169 273 290 291—292 313 324 403—404
Taxation: of capital gains      186 187 196 403—404 441n
Taxation: of profits      51 324
Taxation: portfolios and      23 169 186
Taxation: returns and      284 290—292 295
Taxation: risk and      297 305—315
Taxation: small capitalization stocks and      324
Taxation: stocks and      290—292 295 305—315
Taxation: write-offs for      352
Technical analysis      43—47 48 55 56 57 59 373 397
Technology industry      54 55—56 58—59 93 114 200 362 364—369 370
Telex      368
Templeton, John      84 212 239 382 384
Thaler, Richard      256
Todd, Michael      70
Transaction costs      57 62 166 168 186 196 321 322 326 330 332 333—339
Treasury bills      28—29 273 278 280—287 290—295 297 301 304 306—315 401 403 440n
Trend lines      42 54
Trump, Donald      105—106 353
Trustees      303—304
Tulip bulbs      234 240 355 370 371
Tversky, Amos      108—109 110 216 218 220 222 224 232
U.S.Surgical      130—131
Underwriting      106 210 364 367
Unemployment      223 289 353 378
Unilever      209
United Dyewood      321
University Computing      16 371
University of Chicago      150 153 376
USA Today      366—367
UUNet      366 368
Valuation: over-      20 52 96 158 163 194 246 248 254
Valuation: under-      20 86 142 162 177 179 194 248 268
Value      78
Value investing      49 153 154—157 164 175 178 191 295
Value Line Investment Survey      98 203 209 340—341 349n 384—385
Value Line Mutual Fund Service      204
Value Line New Issue Survey      362
Value, assessment of      233—234
Value, asset      52 293
Value, crisis investing and      261—262 271—275 276
Value, dollar vs. real      294
Value, hidden      60
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