Price Discovery in Indonesia Banking Stocks
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This study aims to analyze the price discovery of banking stock prices on the Indonesia Stock Exchange. The sample used was the main board financial sector company on the IDX for the 2022 period as many as 29 samples using purposive sampling techniques. The data used in this study is secondary data obtained from banking sector companies on the Indonesia Stock Exchange (IDX). Data analysis using panel data regression analysis with the Eviews program. The results of the study partially showed that there was a significant negative influence between volatility and price discovery. There is a significant negative influence between stock trading volume and price discovery. There is a significant positive influence between the frequency of stock trading on price discovery. There is a significant positive influence between momentum and price discovery. There is no influence between foreign net buying on price discovery in the main board banking sector companies listed on the IDX. Meanwhile, the results of the research simultaneously show that there is a significant effect on the variables of volatility, volume, frequency, momentum and foreign net buying on price discovery in the main board banking sector companies listed on the IDX.
Ammar, I. B., Hellara, S., & Ghadhab, I. (2020). High-Frequency Trading and Stock Liquidity: An Intraday Analysis. Research in International Business and Finance, pp. 1-15, doi:10.1016/j.ribaf.2020.101235.
Ammar, I. Ben & Hellara, S. (2021). Intraday Interactions Between High-Frequency Trading and Price Efficiency. Finance Research Letters, Vol. 41, pp. 1-18.
Chen, M., Li, N., Zheng, L., Huang, D. & Wu, B. (2022). Dynamic Correlation of Market Connectivity, Risk Spillover And Abnormal Volatility In Stock Price. Physica A, Vol. 587, pp. 1-18.
Cowles, A. (1933). Can Stock Market Forecasters Forecast, Econometrica, Journal of the Econometric Society: Vol. 3 ,pp. 309-324.
Hasbrouck, Joel (2007); Empirical Market Microstructure: The Institutions, Economics, and Econometrics of Securities Trading; Oxford University Press.
Pathak, R., Ranajee & Kumar, S. (2014). Price Discovery in the Equity Derivatives Market : A Literature Survey. Indian Journal of Finance, pp. 1-11
Sabbaghi, O. (2011). Asymmetric volatility and trading volume: The G5 evidence. Global Finance Journal, Vol. 22(2), pp. 169–181.
Wang, S.-F., & Lee, K.-H. (2015). Do Foreign Short-Sellers Predict Stock Returns? Evidence From Daily Short-Selling In Korean Stock Market. Pacific-Basin Finance Journal, Vo. 32, pp. 56–75. doi:10.1016/j.pacfin.2015.01.004
Goh et al., (2013). Risk-return trade-off, information diffusion, and U.S. stock market predictability. International Journal of Financial Engineering Vol. 4 02 (04): pp. 1-20.
Easley & O'Hara, (1992), Time and the Process of Security Price Adjustment. The Journal of Finance. Vol. 47, No. 2 (Jun., 1992), pp. 577-605.
O'Hara, (1995). The theory of market microstructure. The Review of Financial Studies, The Review of Financial Studies , Winter, 1995, Vol. 8, No. 4, pp. 1235-1238.
Allaudeen Hameed & Eric Terry (1998), "The Effect of Tick Size on Price Clustering and Trading Volume," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 25(7‐8), pp. 849-867.
Darmadji, T and H. M. Fakhruddin (2012), Capital Markets in Indonesia, 3rd Edition, Salemba Empat. Jakarta.
Agus Sartono. (2010). "Financial Management Theory and Applications", fourth edition, Yogyakarta: BPFE Publisher.
Brigham, Eugene F. and Houston, Joel F. (2011). Fundamentals of Financial Management, Tokyo: Harcourt Brace College.
Madhavan, (2000). Market microstructure: A survey. Journal of Financial Markets. Vol. 3 (3), pp. 205-258.
Karabiyik, Westerlund & Narayan, (2021). Estimating the Speed of Adjustment of Leverage in the Presence of Interactive Effects, Journal of Financial Econometrics Vol. 20(5), pp. 1-19.
Gujarati, D. N., (2003), Basic Econometrics; 4th eds.; McGraw Hill.
Wooldridge, J. M. (2002); Econometric Analysis of Cross Section and Panel Data; the MIT Press, Cambridge – England.
Greene, W. H. (2008); Econometric Analysis; Pearson – Prentice Hall.
Biorn, Erik (2017), Econometrics of Panel Data: Methods and Applications; Oxford University Press.
Sul, Donggyu (2019), Panel Data Econometrics: Common Factor Analysis for Empirical Researchers; Routledge.
Khoojine and Han (2019), Network analysis of the Chinese stock market during the turbulence of 2015–2016 using log-returns, volumes and mutual information. Journal Physica A, 523, 1091–1109, pp. 1-19.
Ma, Yang & Su (2021), Stock return predictability: Evidence from moving averages of trading volume. Pacific-Basin Finance Journal Vol. 65, pp. 1-23.
Pevzner, M., Xie, F., Xin, X., (2015) .The role of trust in stock market reactions to corporate earnings announcements. Journal of Financial Economics, Vol. 117, pp. 190–223.
Welch, I., & Goyal, A. (2007). A Comprehensive Look at The Empirical Performance of Equity Premium Prediction, Review of Financial Studies, Vol. 21(4), pp. 1455–1508.
Hartono (2013), The Impact of Covid-19 On Trade Volume and Stock Price Movements of Soes In The Construction Sector, Journal Of Economic, Trisakti University, Vol. 2 No.1, pp. 47-58.
Manurung, Adler Haymans. (2022). Market Microstructure: A Reading. Jakarta: Adler Manurung Press.
Fahmi, I. (2012). Introduction to financial management: Theory and questions and answers. Bandung: Alphabet.
Easley, D., Nicholas M. Kiefer, Maureen O'Hara and Joseph B. Paperman (1996), Liquidity, Information, and Infrequently Traded Stocks, The Journal of Finance, Vol. 51, No. 4, pp. 1405-1436. https://doi.org/10.2307/2329399.
Mardiyah, A. A. and Najib, A. (2005). Differences in Publication of Financial Reports on Stock Trading Volume on the Jakarta Stock Exchange. Economic Research Symposium II, Association of Indonesian Economists.
Wang and Hui (2015) Do Foreign Short-Sellers Predict Stock Returns? Evidence from Daily Short-Selling in Korean Stock Market, Pacific-Basin Finance Journal (2015), pp. 1-14-, doi: 10.1016/j.pacfin.2015.01.004.
Zhang and Zhuang (2019), The Evolution Characteristics of Systemic Risk in China’s Stock Market Based on a Dynamic Complex Network, Entropy (Basel). Vol 22(6), pp. 1-16, 614.
doi: 10.3390/e22060614.
Harris (2004), Market Microstructure: A Survey, Journal of Financial Markets, Vol. 3(3), pp. 205-258. DOI:10.1016/S1386-4181(00)00007-0.
Wyss (2004), Depth, tightness and resiliency as market liquidity dimensions: Evidence from the Polish stock market, Journal International Journal of Computational Economics and Econometrics, Vol. 9, No. 4 , pp. 308-326.
Zhu's (2014), Dark trading and price discovery, Journal of Financial Economics Vol. 118, pp. 70–92.
Chuang et al (2006), The Cross-Section of Stock Returns on The Shanghai Stock Exchange, Review of Quantitative Finance and Accounting, Vol. 26(1), pp. 23-39, DOI:10.1007/s11156-006-7031-4.
Schneider, (2009), Time and the Price Impact of A Trade, The Journal of Finance Vol. 55(6), pp. 2467 – 2498. DOI:10.1111/0022-1082.00297.
Jensen, M. (1988). The value of liquidity: Evidence from the derivatives market. Pacific-Basin Finance Journal, Vol. 8 (3-4), pp. 483-503, DOI:10.1016/S0927-538X(00)00018-4.
Fama & French, (1988), The effiency of price discovery in the stock market and macroeconomic variable an imprical investigation.. African Review of Money Finance and Banking. Vol. 1 No. 1/2 (1994), pp. 1-23.
Chincarini & Kim, (2006). Quantitative Equity Portfolio Management: An Active Approach to Portfolio Construction and Management (McGraw-Hill Library of Investment and Finance.
Maureen O'Hara (1995), Presidential Address: Liquidity and Price Discovery, The Review Of Financial Studies Winter, Vol, 8, No. 4, pp. 1235 – 1243.
Hameed and Terry (1998), The Effect Of Tick Size On Price Clustering And Trading Volume, Journal Of Business Finance & Accounting, 25 (7) & (8), pp. 1-19.
Gerace et al. (2012), Impact of Reduced Tick Sizes on the Hong Kong Stock Exchange, Journal of New Business Ideas & Trends, Vol. 10(2), pp. 54-71.
Bennemark and Chen, (2007). The Effect of Changes in Tick Price and Lot Size on Bid-Ask Spread, Depth, Trading Volume, and Trading Time In Indonesia Stock Exchange, iBuss Management Vol. 3, No. 2, pp. 451-464.
Johansson (2010) , The interactions between China and US stock markets: New perspectives, Journal of International Financial Markets Institutions and Money, Vol. 31(1), pp. 1-12 , DOI:10.1016/j.intfin.2014.04.008.
Lee and Swaminathan, (2000), Price Momentum and Trading Volume, The Journal of Finance, Vol. 55, No. 5, pp. 2017-2069.