02530nam 2200625 a 450 991078988790332120200520144314.01-283-34783-097866133478310-12-385141-6(CKB)2670000000132123(EBL)827640(OCoLC)769343141(SSID)ssj0000612823(PQKBManifestationID)12214598(PQKBTitleCode)TC0000612823(PQKBWorkID)10571040(PQKB)11320198(Au-PeEL)EBL827640(CaPaEBR)ebr10518450(CaONFJC)MIL334783(MiAaPQ)EBC827640(EXLCZ)99267000000013212320111221d2012 uy 0engur|n|---|||||txtccrSeafloor geomorphology as benthic habitat[electronic resource] GeoHAB atlas of seafloor geomorphic features and benthic habitats /edited by Peter T. Harris, Elaine K. Baker1st ed.London Elsevier20121 online resource (947 p.)Elsevier insightsDescription based upon print version of record.0-12-385140-8 Includes bibliographical references.pt. 1. Introduction -- pt. 2. Case studies -- pt. 3. Synthesis. The conservation of marine benthic biodiversity is a recognised goal of a number of national and international programs such as the United Nations Convention on Biodiversity (CBD). In order to attain this goal, information is needed about the distribution of life in the ocean so that spatial conservation measures such as marine protected areas (MPAs) can be designed to maximise protection within boundaries of acceptable dimensions. Ideally, a map would be produced that showed the distribution of benthic biodiversity to enable the efficient design of MPAs. The dilemma is that such maps do noElsevier insights.Submarine topographyBenthosSubmarine topography.Benthos.551.468Harris Peter T1037462Baker Elaine K1571370GeoHab 2007(2007 :Nouméa, New Caledonia)MiAaPQMiAaPQMiAaPQBOOK9910789887903321Seafloor geomorphology as benthic habitat3845756UNINA03988nam 22005895 450 991048332060332120250610110234.03-030-37740-710.1007/978-3-030-37740-3(CKB)4100000010770875(DE-He213)978-3-030-37740-3(MiAaPQ)EBC6147797(PPN)243226543(MiAaPQ)EBC6147770(MiAaPQ)EBC29092669(EXLCZ)99410000001077087520200328d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierQuantitative Portfolio Management with Applications in Python /by Pierre Brugière1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XII, 205 p. 23 illus., 22 illus. in color.) Springer Texts in Business and Economics,2192-43413-030-37739-3 Returns and the Gaussian Hypothesis -- Utility Functions and the Theory of Choice -- The Markowitz Framework -- Markowitz Without a Risk-Free Asset -- Markowitz with a Risk-Free Asset -- Performance and Diversification Indicators -- Risk Measures and Capital Allocation -- Factor Models -- Identification of the Factors -- Exercises and Problems.This self-contained book presents the main techniques of quantitative portfolio management and associated statistical methods in a very didactic and structured way, in a minimum number of pages. The concepts of investment portfolios, self-financing portfolios and absence of arbitrage opportunities are extensively used and enable the translation of all the mathematical concepts in an easily interpretable way. All the results, tested with Python programs, are demonstrated rigorously, often using geometric approaches for optimization problems and intrinsic approaches for statistical methods, leading to unusually short and elegant proofs. The statistical methods concern both parametric and non-parametric estimators and, to estimate the factors of a model, principal component analysis is explained. The presented Python code and web scraping techniques also make it possible to test the presented concepts on market data. This book will be useful for teaching Masters students and for professionals in asset management, and will be of interest to academics who want to explore a field in which they are not specialists. The ideal pre-requisites consist of undergraduate probability and statistics and a familiarity with linear algebra and matrix manipulation. Those who want to run the code will have to install Python on their pc, or alternatively can use Google Colab on the cloud. Professionals will need to have a quantitative background, being either portfolio managers or risk managers, or potentially quants wanting to double check their understanding of the subject.Springer Texts in Business and Economics,2192-4341Social sciences—MathematicsStatisticsApplication softwareMathematics in Business, Economics and FinanceStatistics in Business, Management, Economics, Finance, InsuranceComputer and Information Systems ApplicationsSocial sciences—Mathematics.Statistics.Application software.Mathematics in Business, Economics and Finance.Statistics in Business, Management, Economics, Finance, Insurance.Computer and Information Systems Applications.332.6Brugière Pierreauthttp://id.loc.gov/vocabulary/relators/aut0MiAaPQMiAaPQMiAaPQBOOK9910483320603321Quantitative Portfolio Management2135435UNINA