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After completing BA (Hons) in Business Studies at the Open University, I went on to study MSc Finance and Investment Management at the University of Aberdeen. I received my PhD titled ‘An investigation of the behaviour of financial markets using agent-based computational models’ from Newcastle University. I am a Fellow member of the UK Higher Education Academy and I am teaching modules related to finance and stock market trading. My research is focused upon examining various stylized facts of financial returns and execution of trading strategies. I am a member of the editorial board of the Review of Behavioral Finance.
Financial Strategy and Governance - MAN00014M
Finance and Financial Analysis
Corporate Financial Strategy (online)
My research focuses on:
Manahov, V., Zhang,H. (2019). Forecasting Financial Markets Using High-Frequency Trading Data: Examination with Strongly Typed Genetic Programming. International Journal of Electronic Commerce 23 (1), 12-32 (3* ABS).
Manahov, Hudson,R., Urquhart, A. (2018). High‐frequency trading from an evolutionary perspective: Financial markets as adaptive systems. International Journal of Finance and Economics 24 (2), 943-962 (3* ABS).
Manahov, V. (2016). Scalping strategies and market manipulation. Why does high-frequency trading need stricter regulation? The Financial Review (3* ABS), 51:363-402.
Won the best paper award by the Eastern Finance Association USA
Manahov,V. (2016). Can high-frequency strategies constantly beat the market? International Journal of Finance & Economics (3* ABS), 21(2): 167-191.
Manahov,V.(2016). A note on the relationship between high-frequency trading and latency arbitrage. International Review of Financial Analysis (3* ABS),47:281-296.
Manahov,V.(2016). The rise of the machines in commodities markets: New evidence obtained using Strongly Typed Genetic Programming. Annals of Operations Research (3* ABS), 1-32.
Hoque,H.,Kabir,S.H.,Abdelbari,E.L.,Manahov,V.(2016). Islamic and conventional equity market movements during and after the financial crisis: Evidence from newly launched MSCI indices. Financial Markets, Institutions and Instruments (3* ABS),25(4):217-252.
Manahov,V.,Hudson,R.,Hoque,H.(2015). Return predictability and the ‘wisdom of crowds’: Genetic Programming trading algorithms, the Marginal Trader Hypothesis and the Hayek Hypothesis. Journal of International financial Markets, Institutions and Money (3* ABS),37: 85-98.
Manahov, V., Hudson, R.,Gebka,B. (2014). Does high frequency trading affect technical analysis and market efficiency? And if so, how? Journal of International Financial Markets, Institutions and Money (3* ABS), 28: 131-157.
Manahov,V.,Hudson,R.,Linsley,P.(2014). New evidence about the profitability of small and large stocks and the role of volume obtained using Strongly Typed Genetic Programming. Journal of International Financial Markets, Institutions and Money (3* ABS), 33: 299-316.
Manahov,V.,Hudson,R.(2014). A note on the relationship between market efficiency and adaptability- New evidence from artificial stock markets. Expert Systems with Applications (3* ABS), 41: 7436-7454.
Manahov, V., Hudson, R. (2013). Herd behavior experimental testing in laboratory artificial stock market settings. Behavioural foundations of stylized facts of financial returns. Physica A: Statistical Mechanics and its Applications (2* ABS), 392: 4352-4372.
Prasetyo,D.,Manahov,V.,Obiosa,N.(2014). Does capital market reaction to non-economic factors generate abnormal returns? Investment Management and Financial Innovations (2* ABS), 11(4): 66-76.
Zhang,H.,Manahov,V.,Hudson,R.,Metkalf,H.(2015). Do house prices overreact to relevant information? New evidence from UK housing market. Investment Management and Financial Innovations (2* ABS), 12(3): 26-39.
Prasetyo,D.,Manahov,V.,Obiosa,N. (2016). Investigating the determinants of dividend policy in emerging markets using a combination of explanatory variables. Investment Management and Financial Innovations (2* ABS), 2(2): 14-28.
Zhang,H.,Manahov,V.,Hudson,R.,Metkalf,H.(2015).Identification of house price bubbles using user cost in a state space model. Applied Economics (2* ABS), 47(56): 6088-6101.
Zhang,H.,Manahov,V.,Hudson,R.,Metcalf,H. (2016). Investigation of institutional changes in the UK housing market using structural break tests and time varying parameter models. Empirical Economics (2* ABS). 1-24.
Manahov, V., Hudson, R., Soufian, M. (2013). The implications of trader cognitive abilities on stock market properties. Intelligent Systems in Accounting, Finance and Management (1* ABS), 21(1): 1-18.
Manahov, V., Hudson, R. (2014). The implications of high frequency trading on market efficiency and price discovery. Applied Economics Letters (1* ABS), 21(16):1148-1151.
Manahov,V., Hudson, R. (2013). New evidence of technical trading profitability. Economics Bulletin, 33(4): 2493-2503.
Papers under review
Manahov,V. (2016). Forecasting financial markets using high-frequency data: New evidence from artificial futures markets. European Journal of Operational Research (4* ABS). Under review.
Manahov,V.,Hudson,R.,Urquhart,A.(2016). High-frequency trading from an evolutionary perspective: Financial markets as adaptive systems. Journal of Banking and Finance (3* ABS). Under review.
Manahov,V. (2017). Trading at superhuman speeds: Why high-frequency trading is so difficult to regulate? Working paper.
The York Management School
University of York
York YO10 5GD
Telephone: +44 (0) 1904 325847
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