01290nam0 22003013i 450 VAN0028425720241218091108.632N978303078435520241218d2021 |0itac50 baengCH|||| |||||i e bSalt-affected Soils and Marginal WatersGlobal Perspectives and Sustainable ManagementRanbir ChhabraChamSpringer2021XXII, 714 p.ill.24 cmCHChamVANL001889ChhabraRanbirVANV2380071075244Springer <editore>VANV108073650ITSOL20241220RICAhttps://link.springer.com/book/10.1007/978-3-030-78435-5E-book - Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHEIT-CE0101VAN17NVAN00284257BIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE17CONS e-book 2224 17BIB2224/568 568 20241218 Salt-Affected Soils and Marginal Waters2584232UNICAMPANIA04912nam 2200781 a 450 991096893660332120200520144314.09786613371843978128337184112833718479781400829095140082909710.1515/9781400829095(CKB)2670000000133291(EBL)819621(OCoLC)769342463(SSID)ssj0000639160(PQKBManifestationID)11354427(PQKBTitleCode)TC0000639160(PQKBWorkID)10599128(PQKB)11695803(OCoLC)792704399(MdBmJHUP)muse36737(DE-B1597)447351(OCoLC)979910723(DE-B1597)9781400829095(Au-PeEL)EBL819621(CaPaEBR)ebr10522188(CaONFJC)MIL337184(PPN)265129524(FR-PaCSA)88935192(MiAaPQ)EBC819621(Perlego)735257(FRCYB88935192)88935192(EXLCZ)99267000000013329119980914d1999 uy 0engur|n|---|||||txtccrA non-random walk down Wall Street /Andrew W. Lo, A. Craig MacKinlayCore TextbookPrinceton, N.J. Princeton University Press19991 online resource (449 p.)Description based upon print version of record.9780691057743 0691057745 9780691092560 0691092567 Includes bibliographical references (p. 395-415) and index. Frontmatter -- Contents -- List of Figures -- List of Tables -- Preface -- 1. Introduction -- Part I. -- Introduction -- 2. Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test -- 3. The Size and Power of the Variance Ratio Test in Finite Samples: A Monte Carlo Investigation -- 4. An Econometric Analysis of Nonsynchronous Trading -- 5. When Are Contrarian Profits Due to Stock Market Overreaction -- 6. Long-Term Memory in Stock Market Prices -- Part II. -- Introduction -- 7. Multifactor Models Do Not Explain Deviations from the CAPM -- 8. Data-Snooping Biases in Tests of Financial Asset Pricing Models -- 9. Maximizing Predictability in the Stock and Bond Market -- Part III. -- Introduction -- 10. An Ordered Probit Analysis of Transaction Stock Prices -- 11. Index-Futures Arbitrage and the Behavior of Stock Index Futures Prices -- 12. Order Imbalances and Stock Price Movements on October 19 and 20. 1987 -- References -- IndexFor over half a century, financial experts have regarded the movements of markets as a random walk--unpredictable meanderings akin to a drunkard's unsteady gait--and this hypothesis has become a cornerstone of modern financial economics and many investment strategies. Here Andrew W. Lo and A. Craig MacKinlay put the Random Walk Hypothesis to the test. In this volume, which elegantly integrates their most important articles, Lo and MacKinlay find that markets are not completely random after all, and that predictable components do exist in recent stock and bond returns. Their book provides a state-of-the-art account of the techniques for detecting predictabilities and evaluating their statistical and economic significance, and offers a tantalizing glimpse into the financial technologies of the future. The articles track the exciting course of Lo and MacKinlay's research on the predictability of stock prices from their early work on rejecting random walks in short-horizon returns to their analysis of long-term memory in stock market prices. A particular highlight is their now-famous inquiry into the pitfalls of "data-snooping biases" that have arisen from the widespread use of the same historical databases for discovering anomalies and developing seemingly profitable investment strategies. This book invites scholars to reconsider the Random Walk Hypothesis, and, by carefully documenting the presence of predictable components in the stock market, also directs investment professionals toward superior long-term investment returns through disciplined active investment management.StocksPricesMathematical modelsRandom walks (Mathematics)StocksPricesMathematical models.Random walks (Mathematics)332.63/222QK 620rvkLo Andrew W(Andrew Wen-Chuan)117381MacKinlay Archie Craig1955-121362MiAaPQMiAaPQMiAaPQBOOK9910968936603321Non-random walk down Wall Street64020UNINA