Moving Average Convergence-Divergence (MACD) Trading Rule: An Application in Nepalese Stock Market "NEPSE"
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There are two types of analysis done for a stock market. One is fundamental analysis, where an investor looks at an intrinsic value of the stock, and another is technical analysis, where investors determine the future trend of the market looking at the current pattern or trend of the market. This paper is focused on one of the technical analysis tools, i.e., Moving Average Convergence-Divergence. It is a tool based on the three exponential moving average (9-12-26 EMA Rule). The MACD analysis, with the help of a single line, was helpful to find out the exact bullish and the bearish trend of the Nepse. A signal line is a benchmark to determine the stock market moving either to a bullish or bearish trend. It can help an investor, where the market is going in a direction. A market convergence, divergence, and crossover were better identified with the help of the MACD histogram. The paper found that the Nepse return was stable for a very minimal period from 1998-99 to 2019-20. The shift from the bullish to bearish or vice-verse were seen easily identified with the help of a MACD histogram. Finally, a better-combined knowledge of moving average and candlestick chart analysis will help an investor, to put a clear picture of a market trend with the help of MACD analysis.
Ahmar, A.S. (2017). Sutte indicator: A technical indicatorin stock market. International Journal of Economics and Financial Issues, 7(2), 223-226. https://ssrn.com/abstract=2924309
Anghel, G.D.I. (2015). Stock market efficiency and the MACD: Evidence from the countries around the world. Procedia Economics and Finance, 32, 1414-1431. https://doi.org/10.1016/S2212-5671(15)01518-X
Appel, G.H. (1979). The stock option and no-load switch fund scalper's manual. Windsor Books.
Aspray, M. (1986). Fine-tuning the demand index. Technical Analysis of Stocks & Commodoties, 4(14), 294-297.
Chong, T.T-L, Ng, W-K. & Liew,V.K-S . (2014). Revisiting the performance of MACD and RSI Oscillators. Journal of Risk and Financial Management, 7, 1-12. https://doi.org/10.3390/jrfm7010001
Eric,D., Andjelic, G. & Redzepagic, S. (2009). Application of MACDand RVI indicators as functions of investment strategy optimization on the financial market. Zbornik radova Ekonomskog fakulteta u Rijeci [Proceedings of Rijeka Faculty of Economics], 27(1), 171-196. https://doi.org/RePEc:rfe:zbefri:v:27:y:2009:i:1:p:171-196
Fama, E.F. (1970). Efficient capital markets: A review of theory and emprical work. The Journal of Finance, 25(2), 383-417. https://doi.org/10.2307/2325486
Halilbegovic, S. (2016). MACD-Analysis of weaknesses of the most powerdul technical analysis tools. Independent Journal of Management and Production, 7(2), 367-379. https://doi.org/10.14807/ijmp.v7i2.415
Inumula, K.M. (2017). Application of optimized technical indicators: MACD and RSI. Paripex-Indian Journal of Research, 6(3), 636-640.https://www.doi.org/10.36106/paripex
Lo, A.W. & MacKinlay, A.C. (1988). Stock market peices do not follow random walks: Evidence from a simple specification test. Review of Financial Studies, 1(1), 41-66. https://doi.org/10.1093/rfs/1.1.41
Lo, A.W. & MacKinlay, A.C. (1999). A non-random walk down wall street . Princeton University Press.
Mahajan, Y.D. (2015). Optimzation of MACD and RSI indicators: An empirical study of Indian equity market for profitable investment decisions. Asian Journal of Research in Banking and Finance, 5(12), 13-25. https://doi.org/10.5958/2249-7323.2015.00140.6
Nison, S. (1991). Japanese candlestick charting techniques. New York Institute of Finance.
Pandya, H. (2013). Technical analysis for selected companies of Indian IT sector. International Journal of Advanced Research, 1(4), 430-446.
Pradipbhai, N.P. (2013). Comparision between exponential moving average based MACD with simple moving average based MACD of technical analysis. IJSR-International Journal of Scientific Research, 2(12), 189-197. https://doi.org/10.36106/ijsr
Rosillo, R. , de la Fuente, D. & Brugos,J . A. L. (2013). Technical analysis and the Spanish stock exchange: testing the RSI, MACD, momentum and stochastic rules using Spanish market companies. Applied Economics, 45(12), 1541-1550. https:// doi.org/10.1080/00036846.2011.631894
Turner, T. (2007). A beginner's guide to day trading online. Adams Media.
Vasiliou, D., Eriotis, N., & Papathanasiou, S. (2004). How rewarding is technical analysis? Evidence from Athens stock exchange (ASE). Operational Research, 6(2), 85-102. https://doi.org/10.1007/BF02941226
Wang, J. & Kim, J. (2018). Predicting stock price trend using MACD optimized by historical volatility. Mathematical Problems in Engineering, 9280590, 1-12. https://doi.org/10.1155/2018/9280590
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