Диссертация (1152468), страница 28
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–№ 6. – С. 76-79.45. Станик, Н. А. Цикличность экономики и финансовые кризисы / Н. А.Станик // Финансовая аналитика: проблемы и решения. – 2012. – № 31 (121). –C. 37-46.16746. Твардовский, В. В. Секреты биржевой торговли: торговля акциями нафондовых биржах / В. В. Твардовский, С. В. Паршиков. – 7-е изд. – М. : АльпинаПаблишерз, 2010. – 551 с.47. Тихомиров, Н. П. Эконометрика: Учебник / Н. П. Тихомиров, Е. Ю.Дорохина. – М. : Издательство «Экзамен», 2003.
– 512 с.48. Хайкин, С. Нейронные сети: полный курс, 2-е издание / С. Хайкин. – М.: Издательский дом «Вильямс», 2006. – 1104 с.49. Цыпин, А. П. Статистические пакеты программ в социальноэкономических исследованиях / Цыпин А. П., Сорокин А. С. // Азимут научныхисследований: экономика и управление. – 2016. – т. 5.
– № 4 (17). – С. 379-384.50. Цыпин, А. П. Информационные технологии при проведении экономикостатистических исследований на основе исторических временных рядов / А. П.Цыпин, А. С. Сорокин // Азимут научных исследований: экономика и управление.– 2017. – т. 6. – № 2 (19). – С. 299-302.51. Чеботарев, Ю. А. Торговые роботы на российском фондовом рынке / Ю.А.
Чеботарев. – М. : Омега-Л, 2006. – 136 с.52. Ширяев, А. Н. О некоторых понятиях и стохастических моделяхфинансовой математики / А. Н. Ширяев // Теория вероятностей и ее применение.– 1994. – т. 39. – № 1. – С. 5-22.53. Шумков, Е. А. Структуры механических торговых систем / Е. А.Шумков. – М. : Издательский дом Университета «Синергия», 2012. – 10 с.54. Akaike, H. Covariance matrix computation of the state variable of a stationaryGaussian process / H. Akaike // Annals of the Institute of Statistical Mathematics. –1978. – Vol.
30. – No. 3. – P. 499-504.55. Akerlof, G. A. Animal Spirits. How Human Psychology Drives the Economy,and Why It Matters for Global Capitalism / G. A. Akerlof, R. J. Shiller. – NJ : PrincetonUniversity Press, 2009. – 261 p.16856. Andersen, T. G. Intraday periodicity and volatility persistence in financialmarkets / T. G. Andersen, T. J. Bollerslev // Empirical Finance. – 1997. – Vol. 4. –No.
2. – P. 115–158.57. Ataullah, A. A wave function for stock market returns / A. Ataullah, I.Davidson, M. Tippett // Physica A : Statistical Mechanics and its Applications. – 2009.– Vol. 388. – No. 4. – P. 455-461.58. Athans, M. The Importance of Kalman Filtering Methods for EconomicSystem / M. Athans // Annals of Economics and Social Measurements. – 1974. – Vol. 3.– No. 1. – P. 49-74.59. Ball, R. An Empirical Evaluation of Accounting Income Numbers / R. Ball,P.
Brown // Journal of Accounting Research. – 1968. – Vol. 6. – No. 2. – P. 159 – 178.60. Baxter, M. Measuring business cycles: Approximate band-pass filters foreconomic time series / M. Baxter, R. G. King // The Review of Economics andStatistics. – 1999. – Vol. 81. – No. 4 – P. 575-593.61. Bera, A. K.
ARCH Models: Properties, Estimation and Testing / A. K. Bera,M. L. Higgins // Journal of Economic Surveys. – 1993. – Vol. 7. – No. 4. – P. 307-366.62. Bernard, V. L. Evidence that stock prices do not fully reflect the implicationsof current earnings for future earnings / V. L. Bernard, J. K. Thomas // Journal ofAccounting and Economics.
– 1990. – Vol. 13. – No. 4. – P. 305-340.63. Beran, J. Statistical methods for data with long range dependence / J. Beran //Statistical Science. – 1992. – Vol. 7. – No. 4. – P. 404-416.64. Bianchi, A. Estimation and prediction of a nonlinear model for price herding /A. Bianch, V. Capasso, D. Morale // Complex Models and Intensive ComputationalMethods for Estimation and Prediction. – 2005. – Vol. 7. – P.
365-370.65. Bikhchandani, S. Herd Behavior in Financial Markets / S. Bikhchandani, S.Sharma // IMF Staff Papers. – 2001. – Vol. 47. – No. 3. – P. 279-310.66. Binary Option Definition [Электронный ресурс] – Режим доступа:https://www.investopedia.com/terms/b/binary29.01.2018).–option.asp(датаобращения–16967. Bissoondeeal, R.
K. Forecasting exchange rates with linear and nonlinearmodels / K. R. Bissoondeeal, J. M. Binner // Global Business and Economics Review. –2008. – Vol. 10. – No. 4. – P. 414-429.68. Black, F. The Pricing of Options and Corporate Liabilities/ F. Black, M.Scholes // Journal of Political Economy. – 1973. – Vol. 81. – No. 3. – P. 637-654.69.
Bolland, P. J. A constrained neural network kalman filter for price estimationin high frequency financial data / P. J. Bolland, J. Connor // International Journal ofNeural Systems. – 1997. – Vol. 8. – No. 4. – P. 399-415.70. Bollerslev, T. Generalized Autoregressive Conditional Heteroskedasticity / T.Bollerslev // Journal of Econometrics. – 1986. – Vol. 31. – No. 3. – P. 307-327.71. Boswijk, P. Behavioral heterogeneity in stock prices / P. Boswijk, C.Hommes, S.
Manzan // Journal of Economic Dynamics and Control. – 2007. – Vol. 31.– No. 6. – P. 1938-1970.72. Bouchaud, J. P. Power laws in economics and finance / J. P. Bouchaud //Quantitative Finance. – 2001. – Vol. 1. – No. 1. – P. 105–112.73. Bouchaud, J. P. The leverage effect in financial markets: retarded volatilityand market panic / J. P. Bouchaud, A. Matacz, M. Potters // Physical Review Letters.
–2001. – Vol. 87. – No. 22. – P. 87–90.74. Brock, W. Heterogeneous beliefs and routes to chaos in a simple asset pricingmodel / W. Brock, C. Hommes // Journal of Economic Dynamics Control. – 1998. –Vol. 22. – No. 8. – P. 1235-1274.75. Butterworth, S. On the Theory of Filter Amplifiers / S. Butterworth //Experimental Wireless and the Wireless Engineer. – 1930. – Vol. 7. – P. 536-541.76.
Chan, E. P. Quantitative Trading: How to Build Your Own AlgorithmicTrading Business / E. P. Chan. – NJ : Wiley, 2008. – 204 p.77. Cheung, Y. W. Practitioner's Corner: Lag Order and Critical Values of aModified Dickey-Fuller Test / Y. W. Cheung, S. L. Kon // Oxford Bulletin ofEconomics and Statistics. – 1995.
– Vol. 57. – No. 3. – P. 411-419.17078. Cheung, Y. W. Currency traders and exchange rate dynamics. A survey of theU.S. market / Y. W. Cheung, M. D. Chinn // Journal of International Money andFinance. – 2001. – Vol. 20. – No. 4. – P. 439–471.79. Chowdhury, M. The relation between aggregate insider transaction and stockmarket returns / M. Chowdhury, J. S. Howe, J. Lin // The Journal of Financial andQuantitative Analysis. – 1993.
– Vol. 28. – No. 3. – P. 431-437.80. Christiano, L. J. The band pass filter / L. J. Christiano, T. J. Fitzgerald //International Economic Review. – 2003. – Vol. 44. – No. 2. – P. 435-465.81. Conlan, C. Automated Trading with R: Quantitative Research and PlatformDevelopment / C. Conlan. – NY : Apress, 2016.
– 217 p.82. Cont, R. Empirical properties of asset returns: stylized facts and statisticalissues / R. Cont // Quantitative Finance. – 2001. – Vol. 1. – No. 2. – P. 223–236.83. Couzin, I. D. Eective leadership and decision-making in animal groups on themove / I.
D. Couzin, J. Krause, N. R. Franks, S. A. Levin // Nature. – 2005. – Vol. 433.– No. 7025. – P. 513-516.84. Cowles, A. Stock market forecasting / A. Cowles // Econometrica. – 1944. –Vol. 12. – No. 3. – P. 206-214.85. Davey K. J. Building Winning Algorithmic Trading Systems / K.J. Davey. –NY. : Wiley, 2014.
– 284 p.86. De Jong, P. The likelihood for a state space model / P. De Jong // Biometrika.– 1988. – Vol. 75. – No. 1. – P. 165-169.87. De Jong, P. The Diffuse Kalman Filter / P. De Jong // The Annals ofStatistics. – 1991. – Vol. 19. – No. 2. – P. 1073-1083.88. Ding, Z. Modeling volatility persistence of speculative returns: a newapproach / Z.
Ding, C. Granger // Journal of Econometrics. – 1996. – Vol. 73. –P. 185-215.89. Dickey, D. A. Distribution of the Estimators for Autoregressive Time Serieswith a Unit Root / D. A. Dickey, W. A. Fuller // Journal of the American StatisticalAssociation. – 1979. – Vol. 74. – No. 366. – P. 427-431.17190. Donier, J. A fully consistent, minimal model for non – linear market impact /J. Donier, J. F. Bonart, I. Mastromatteo, J. P. Bouchaud // Quantitative Finance. – 2015.– Vol.
15. – No. 7. – P. 1109-1121.91. Durenard, E. A. Professional Automated Trading: Theory and Practice / E. A.Durenard. – NJ : Wiley, 2013. – 382 p.92. Durrett, R. The importance of being discrete (and spatial) / R. Durrett, S. A.Levin // Theoretical Population Biology. – 1994. – Vol. 46.
– P. 363-394.93. Durbin, J. A simple and efficient simulation smoother for state space timeseries analysis / J. Durbin, S. J. Koopman // Biometrika. – 2002. – Vol. 89. – No. 3. –P. 603-615.94. Einicke, G. A. Robust Extended Kalman Filtering / G. A. Einicke, L. B.White // IEEE Trans. Signal Processing. – 1999. – Vol. 47. – No. 9. – P. 2596-2599.95. Elliott R.
N. Elliot's Masterworks: the Definitive Collection / R. N. Elliott. –Gainesville : New Classics Library, 2004. – 312 p.96. Engle, R. F. Autoregressive Conditional Heteroscedasticity with Estimates ofthe Variance of United Kingdom inflation / R. F. Engle // Econometrica.