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000 camKa
001 2210080831400
003 OCoLC
005 20170929095110
006 m o d
007 cr cnu---unuuu
008 140524s2014 nju ob 001 0 eng d
019 a884538252a958084680a967841336
020 a9780691161433q(electronic bk.)
020 a0691161437q(electronic bk.)
020 a9781400850327q(electronic bk.)
020 a1400850320q(electronic bk.)
020 a9781306805490
020 a130680549X
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035 a(OCoLC)880530776z(OCoLC)884538252z(OCoLC)958084680z(OCoLC)967841336
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050 aHG106b.A3873 2014
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100 aAi?t-Sahalia, Yacine,eauthor.
245 00 aHigh-Frequency Financial Econometrics /cYacine Ai?t-Sahalia and Jean Jacod.
260 aPrinceton :bPrinceton University Press,c2014.
300 a1 online resource (684 pages)
336 atextbtxt2rdacontent
337 acomputerbc2rdamedia
338 aonline resourcebcr2rdacarrier
504 aIncludes bibliographical references and index.
505 aFrom diffusions to semimartingales -- Data considerations -- Introduction to asymptotic theory: volatility estimation for a continuous process -- With jumps: an introduction to power variations -- High-frequency observations: identifiability and asymptotic efficiency -- Estimating integrated volatility: the base case with no noise and equidistant observations -- Volatility and microstructure noise -- Estimating spot volatility -- Volatility and irregularly spaced observations -- Testing for jumps -- Finer analysis of jumps: the degree of jump activity -- Finite or infinite activity for jumps? -- Is Brownian motion really necessary? -- Co-jumps -- A: Asymptotic results for power variations -- B: Miscellaneous proofs.
520 a"High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability of such data, the technological advancements that make high-frequency trading strategies possible, and the need of practitioners to analyze these data. This comprehensive book introduces readers to these emerging methods and tools of analysis. Yacine Ai?t-Sahalia and Jean Jacod cover the mathematical foundations of stochastic processes, describe the primary characteristics of high-frequency financial data, and present the asymptotic concepts that their analysis relies on. Ai?t-Sahalia and Jacod also deal with estimation of the volatility portion of the model, including methods that are robust to market microstructure noise, and address estimation and testing questions involving the jump part of the model. As they demonstrate, the practical importance and relevance of jumps in financial data are universally recognized, but only recently have econometric methods become available to rigorously analyze jump processes. Ai?t-Sahalia and Jacod approach high-frequency econometrics with a distinct focus on the financial side of matters while maintaining technical rigor, which makes this book invaluable to researchers and practitioners alike"--cProvided by publisher.
588 aPrint version record.
590 aeBooks on EBSCOhostbAll EBSCO eBooks
650 aFinancexEconometric models.
650 aEconometrics.
650 aEconometrics.
650 aFinancexEconometric models.
650 aFinancexMathematical models.
650 aFinance.
650 aBUSINESS & ECONOMICSxFinance.2bisacsh
650 aBUSINESS & ECONOMICSxEconometrics.2bisacsh
650 aEconometrics.2fast0(OCoLC)fst00901574
650 aFinancexEconometric models.2fast0(OCoLC)fst00924377
655 aElectronic books.
700 1 aJacod, Jean,eauthor.
776 iPrint version:aAi?t-Sahalia, Yacine.tHigh-frequency financial econometrics.dPrinceton : Princeton University Press, [2014]z9780691161433w(DLC) 2013045702w(OCoLC)861666232
856 uhttp://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=692332
938 aCoutts Information ServicesbCOUTn28408557
938 aEBL - Ebook LibrarybEBLBnEBL1603116
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938 aEBSCOhostbEBSCn692332
938 aIngram Digital eBook CollectionbIDEBncis28408557
938 aProject MUSEbMUSEnmuse49014
938 aYBP Library ServicesbYANKn11825031
994 a92bKRKUC
High-Frequency Financial Econometrics /Yacine Ai?t-Sahalia and Jean Jacod
종류
전자책
서명
High-Frequency Financial Econometrics /Yacine Ai?t-Sahalia and Jean Jacod
저자명
Jacod Jean author
발행사항
Princeton : Princeton University Press 2014.
형태사항
1 online resource (684 pages)
주기사항
Includes bibliographical references and index. / "High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability of such data, the technological advancements that make high-frequency trading strategies possible, and the need of practitioners to analyze these data. This comprehensive book introduces readers to these emerging methods and tools of analysis. Yacine Ai?t-Sahalia and Jean Jacod cover the mathematical foundations of stochastic processes, describe the primary characteristics of high-frequency financial data, and present the asymptotic concepts that their analysis relies on. Ai?t-Sahalia and Jacod also deal with estimation of the volatility portion of the model, including methods that are robust to market microstructure noise, and address estimation and testing questions involving the jump part of the model. As they demonstrate, the practical importance and relevance of jumps in financial data are universally recognized, but only recently have econometric methods become available to rigorously analyze jump processes. Ai?t-Sahalia and Jacod approach high-frequency econometrics with a distinct focus on the financial side of matters while maintaining technical rigor, which makes this book invaluable to researchers and practitioners alike"
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