Estimation of intraday stock market resiliency: Short-Time Fourier Transform approach
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[1] Carlos Mateo,et al. Short-time Fourier transform with the window size fixed in the frequency domain , 2017, Digit. Signal Process..
[2] K.M.M. Prabhu,et al. Window Functions and Their Applications in Signal Processing , 2013 .
[3] Angelo Ranaldo,et al. Intraday market liquidity on the Swiss Stock Exchange , 2001 .
[4] Brandon Whitcher,et al. Differentiating intraday seasonalities through wavelet multi-scaling , 2001 .
[5] Ohad Kadan,et al. Limit Order Book as a Market for Liquidity , 2001 .
[6] J. Olbryś,et al. Bear Market Periods during the 2007–2009 Financial Crisis: Direct Evidence from the Visegrad Countries , 2015 .
[7] Adrian Pagan,et al. A Simple Framework for Analyzing Bull and Bear Markets , 2001 .
[8] Ramazan Gençay,et al. Jump detection with wavelets for high-frequency financial time series , 2014 .
[9] Jeremy H. Large. Measuring the resiliency of an electronic limit order book , 2007 .
[10] Irena Orovic,et al. Compressive sensing meets time-frequency: An overview of recent advances in time-frequency processing of sparse signals , 2017, Digit. Signal Process..
[11] F. Harris. On the use of windows for harmonic analysis with the discrete Fourier transform , 1978, Proceedings of the IEEE.
[12] J. Olbryś,et al. Dimensions of Market Liquidity: The Case of the Polish Stock Market , 2017 .
[13] Craig W. Holden,et al. Do Liquidity Measures Measure Liquidity , 2009 .
[14] Danny Lo,et al. Resiliency of the limit order book , 2015 .
[15] E. Theissen,et al. Liquidity Dynamics in an Electronic Open Limit Order Book: An Event Study Approach , 2015 .
[16] Interaction Between Market Depth and Market Tightness on the Warsaw Stock Exchange: A Preliminary Study , 2017 .
[17] Peter L. Bernstein,et al. Liquidity, Stock Markets, and Market Makers , 1987 .
[18] B. Rosenow,et al. Order book approach to price impact , 2003, cond-mat/0311457.
[19] R. Fisher. 014: On the "Probable Error" of a Coefficient of Correlation Deduced from a Small Sample. , 1921 .
[20] A. Kyle. Continuous Auctions and Insider Trading , 1985 .
[21] H. Stoll,et al. Dealer versus auction markets: A paired comparison of execution costs on NASDAQ and the NYSE , 1996 .
[22] A. Iacobucci. Spectral Analysis for Economic Time Series , 2005 .
[23] Paul J. Irvine,et al. Institutional Trading and Stock Resiliency: Evidence from the 2007-2009 Financial Crisis , 2012 .
[24] R. Marks. Handbook of Fourier Analysis & Its Applications , 2009 .
[25] Dorra Mezzez Hmaied,et al. Dynamics of Market Liquidity of Tunisian Stocks: An Analysis of Market Resiliency , 2006, Electron. Mark..
[26] Jin Jiang,et al. Time-frequency feature representation using energy concentration: An overview of recent advances , 2009, Digit. Signal Process..
[27] L. Harris. Trading and Exchanges: Market Microstructure for Practitioners , 2002 .
[28] Marco Pagano,et al. Market Liquidity: Theory, Evidence, and Policy , 2013 .
[29] Albrecht Rüdiger,et al. Spectrum and spectral density estimation by the Discrete Fourier transform (DFT), including a comprehensive list of window functions and some new at-top windows , 2002 .
[30] Robert J. Elliott,et al. Optimal execution with regime-switching market resilience , 2019, Journal of Economic Dynamics and Control.
[31] Anat R. Admati,et al. A Theory of Intraday Patterns: Volume and Price Variability , 1988 .
[32] H. Liu,et al. Distribution characteristics of stock market liquidity , 2013 .
[33] S. Nowak,et al. Day-of-the-Week Effects in Liquidity on the Warsaw Stock Exchange , 2015 .
[34] Joanna Olbrys,et al. Measuring stock market resiliency with Discrete Fourier Transform for high frequency data , 2019, Physica A: Statistical Mechanics and its Applications.