LEADER 05470nam 2200661Ia 450 001 9910827657103321 005 20230803033809.0 010 $a1-283-85075-3 010 $a981-4397-84-9 035 $a(CKB)3400000000087219 035 $a(EBL)1080973 035 $a(OCoLC)819379991 035 $a(SSID)ssj0000754874 035 $a(PQKBManifestationID)12343868 035 $a(PQKBTitleCode)TC0000754874 035 $a(PQKBWorkID)10729540 035 $a(PQKB)11729840 035 $a(MiAaPQ)EBC1080973 035 $a(WSP)00002806 035 $a(Au-PeEL)EBL1080973 035 $a(CaPaEBR)ebr10627502 035 $a(CaONFJC)MIL416325 035 $a(EXLCZ)993400000000087219 100 $a20120820d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 13$aAn introduction to wavelet theory in finance$b[electronic resource] $ea wavelet multiscale approach /$fFrancis In, Sangbae Kim 210 $aSingapore ;$aHackensack, NJ $cWorld Scientific Pub.$dc2013 215 $a1 online resource (213 p.) 300 $aDescription based upon print version of record. 311 $a981-4397-83-0 320 $aIncludes bibliographical references (p. 191-202) and index. 327 $aContents; 1. Methodology: Introduction to Wavelet Analysis; 1.1 Introduction; 1.2 Fourier Analysis and Spectral Analysis; 1.2.1 Fourier analysis; 1.2.2 Spectral analysis; 1.2.3 Comparison between Fourier transform and wavelet transform; 1.3 Wavelet Analysis; 1.3.1 Continuous wavelet transform; Scale of wavelets; Shifting of wavelets; 1.3.2 Discrete wavelet transform; 1.3.3 Maximal overlap discrete wavelet transform; 1.3.4 Boundary condition; Periodic boundary; Reflection boundary; Brick wall condition; 1.4 Wavelet Variance, Covariance and Correlation; 1.4.1 Wavelet variance 327 $a1.4.2 Wavelet covariance and correlation1.4.3 Cross wavelet covariance and correlation; 1.5 Long Memory Estimation Using Wavelet Analysis; 1.5.1 Definitions of long memory; 1.5.2 Wavelet ordinary least square; 1.5.3 Approximate maximum-likelihood estimation of the long memory parameter; 1.5.4 Another estimation method of the long memory parameter; 2. Multiscale Hedge Ratio Between the Stock and Futures Markets: A New Approach Using Wavelet Analysis and High Frequency Data; 2.1 Introduction; 2.2 Minimum Variance Hedge; 2.3 Empirical Results; 2.4 Concluding Remarks 327 $a3. Modeling the International Links Between the Dollar, Euro and Yen Interest Rate Swap Markets Through a Multiscaling Approach3.1 Introduction; 3.2 Data and Descriptive Statistics; 3.3 Empirical Results; 3.4 Concluding Remarks; 4. Long Memory in Rates and Volatilities of LIBOR: Wavelet Analysis; 4.1 Introduction; 4.2 Data and Empirical Results; 4.3 Summary and Concluding Remarks; 5. Cross-Listing and Transmission of Pricing Information of Dually-Listed Stocks: A New Approach Using Wavelet Analysis; 5.1 Introduction; 5.2 Data Description and Basic Statistics; 5.3 Empirical Results 327 $a5.4 Concluding RemarksAppendix. The market values of sample companies as of 2002; 6. On the Relationship Between Stock Returns and Risk Factors: New Evidence From Wavelet Analysis; 6.1 Introduction; 6.2 Data and Basic Statistics; 6.3 Empirical Results; 6.3.1 Results from the traditional CAPM; 6.3.2 Results using two risk factors: Excess market returns and SMB; 6.3.3 Results using three factors: Excess market returns, SMB and HML; 6.4 Concluding Remarks; 7. Can the Risk Factors Explain the Cross-Section of Average Stock Returns in the Long Run?; 7.1 Introduction; 7.2 Data and Basic Statistics 327 $a7.3 Empirical Results7.3.1 Traditional CAPM context; 7.3.2 Fama-French three factor model; 7.3.3 Fama-French three-factor model augmented by the momentum factor; 7.4 Conclusion; 8. Multiscale Relationships Between Stock Returns and Inflations: International Evidence; 8.1 Introduction; 8.2 Research Methodologies; 8.2.1 The multi-scale hedge ratio; 8.2.2 The bootstrap approach; 8.3 Data and Empirical Results; 8.4 Summary and Concluding Remarks; Appendix A. Data sources; 9. Mutual Fund Performance and Investment Horizon; 9.1 Introduction; 9.2 Sharpe Ratio at Different Investment Horizons 327 $a9.3 Data and Empirical Results 330 $aThis book offers an introduction to wavelet theory and provides the essence of wavelet analysis - including Fourier analysis and spectral analysis; the maximum overlap discrete wavelet transform; wavelet variance, covariance, and correlation - in a unified and friendly manner. It aims to bridge the gap between theory and practice by presenting substantial applications of wavelets in economics and finance.This book is the first to provide a comprehensive application of wavelet analysis to financial markets, covering new frontier issues in empirical finance and economics. The first chapter of th 606 $aFinance$xMathematical models 606 $aWavelets (Mathematics) 615 0$aFinance$xMathematical models. 615 0$aWavelets (Mathematics) 676 $a332.01514742 676 $a332.015152433 676 $a515.2433 700 $aIn$b Francis$01672520 701 $aKim$b Sangbae$f1965-$01672521 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910827657103321 996 $aAn introduction to wavelet theory in finance$94035905 997 $aUNINA