Faith Kabanda
Ali Alaali
Yap Hong Keat
ABSTRACT
The high-frequency trading (HFT) has changed the world perspective of how the market behaves. HFT is a good system that provides liquidity to markets whereby it increases the market trend and improves its overall financial growth. On the other hand, some traders believe that this type of trading could lead to the instability of the market. Thus in this work, the effect of high frequency trading on the Malaysian stock market was studied. Historical data of Malaysia index from 2005 to 2011 and 2012 to 2018 was used for analysis and forecasting. In addition, comparison between Autoregressive (AR), Moving Averag (MA) and ARIMA for data set with HFT to the data set without HFT was done. The comparison was done in terms of price, volume and change. The outcome of this work showed HFT in Malaysia had a positive impact on the Malaysian Market to a greater extend.
- Schwartz, R. A. (Ed.)., The electronic call auction: Market mechanism and trading: Building a better stock market, Springer Science & Business Media, vol. 7, 2012Google Scholar
- O'Hara, M., High frequency market microstructure. Journal of Financial Economics, 116(2), 257--270, 2015.Google ScholarCross Ref
- Aldridge, I., High-frequency trading: a practical guide to algorithmic strategies and trading systems, John Wiley & Sons, vol. 604, 2013.Google Scholar
- Lockwood, J. W., Gupte, A., Mehta, N., Blott, M., English, T., and Vissers, K., A low-latency library in FPGA hardware for high-frequency trading (HFT). In 2012 IEEE 20th annual symposium on high-performance interconnects, IEEE, pp. 9--16, Aug, 2012. Google ScholarDigital Library
- Cartea, A., Jaimungal, S., and Ricci, J., Buy low, sell high: A high frequency trading perspective. SIAM Journal on Financial Mathematics, 5(1), 415--444, 2014.Google ScholarDigital Library
- Farmer, J. D., and Skouras, S., An ecological perspective on the future of computer trading. Quantitative Finance, 13(3), 325--346, 2013.Google ScholarCross Ref
- Moosa, I., The regulation of high-frequency trading: A pragmatic view. Journal of Banking Regulation, 16(1), 72--88, 2015.Google ScholarCross Ref
- Miller, R. S., and Shorter, G., High-frequency trading: Overview of Recent Developments. CRS Report, 44443, 2016.Google Scholar
- Korajczyk, R. A., and Murphy, D., High-frequency market making to large institutional trades. The Review of Financial Studies, 32(3), 1034--1067, 2018.Google ScholarCross Ref
- Madhavan, A., Exchange-traded funds, market structure, and the flash crash. Financial Analysts Journal, 68(4), 20--35, 2012.Google ScholarCross Ref
- Brogaard, J., Hendershott, T., and Riordan, R. High-Frequency Trading and Price Discovery. The Review of Financial Studies, 27(8), 2267--2306, 2014.Google ScholarCross Ref
- Menkveld, A. J., High frequency trading and the new market makers. Journal of Financial Markets, 16(4), 712--740, 2013.Google ScholarCross Ref
- Benos, E., and Sagade, S., High-frequency trading behaviour and its impact on market quality: evidence from the UK equity market (No. 469). Bank of England, 2012.Google ScholarCross Ref
- Kirilenko, A., Kyle, A. S., Samadi, M., and Tuzun, T., The Flash Crash: High-Frequency Trading in an Electronic Market. The Journal of Finance, 72(3), 967--998, 2017.Google ScholarCross Ref
- Chaboud, A. P., Chiquoine, B., Hjalmarsson, E., and Vega, C., Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market. The Journal of Finance, 69(5), 2045--2084, 2014.Google ScholarCross Ref
- Hagströmer, B., and Nordén, L., The diversity of high-frequency traders. Journal of Financial Markets, 16(4), 741--770, 2013.Google ScholarCross Ref
- Goldstein, M. A., Kumar, P., and Graves, F. C., Computerized and High-Frequency Trading. Financial Review, 49(2), 177--202, 2014.Google Scholar
- Brogaard, J., Hendershott, T., Hunt, S., and Ysusi, C., High-Frequency Trading and the Execution Costs of Institutional Investors. Financial Review, 49(2), 345--369, 2014.Google ScholarCross Ref
- Cartea, Á., and Jaimungal, S., Risk metrics and fine tuning of high-frequency trading strategies. Mathematical Finance, 25(3), 576--611, 2015.Google ScholarCross Ref
- Seddon, J. J., and Currie, W. L., A model for unpacking big data analytics in high-frequency trading. Journal of Business Research, 70, 300--307, 2017.Google ScholarCross Ref
- Amran, N. A., The effect of owner's gender and age to firm performance: A review on Malaysian public listed family businesses. Journal of Global Business and Economics, 2(1), 104--116, 2011.Google Scholar
- Davis, M., Kumiega, A., and Van Vliet, B., Ethics, finance, and automation: A preliminary survey of problems in high frequency trading. Science and engineering ethics, 19(3), 851--874, 2013.Google Scholar
- Lean, H. H., Mishra, V., and Smyth, R., The relevance of heteroskedas-ticity and structural breaks when testing for a random walk with high-frequency financial data: Evidence from asean stock markets. The Handbook of High Frequency Trading, 59--73, 2015.Google Scholar
- Adhikari, R., and Agrawal, R. K., An introductory study on time series modeling and forecasting, 2013, arXiv preprint arXiv: 1302.6613.Google Scholar
- Horváth, L., Kokoszka, P., and Rice, G., Testing stationarity of functional time series. Journal of Econometrics, 179(1), 66--82, 2014.Google ScholarCross Ref
- Banik, S., Habib Chanchary, F., Ara Rouf, R., and Khodadad Khan, A. F. M., Modeling chaotic behavior of Dhaka stock market index values using the neuro-fuzzy model. Recent Patents on Computer Science, 5(1), 72--77, 2012.Google Scholar
- Pai, P. F., and Lin, C. S., A hybrid ARIMA and support vector machines model in stock price forecasting. Omega, 33(6), 497--505, 2005.Google ScholarCross Ref
Index Terms
- Effects of High Frequency Trading on the Malaysian Stock Market
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