Çankaya, Serkan and Ulusoy, Veysel and Eken, Hasan/M. (2011): The Behavior of Istanbul Stock Exchange Market: An Intraday Volatility/Return Analysis Approach. Published in: African Journal of Business Management , Vol. 5, No. 16 (18 August 2011): pp. 7017-7030.
Preview |
PDF
MPRA_paper_43656.pdf Download (510kB) | Preview |
Abstract
This study investigates intraday effects in the Istanbul Stock Exchange (ISE) during the latest period of financial turmoil which began in August 2007 and extended to February 2010. We tested for the possible existence of intraday anomalies using both return and volatility equations, empirically applying GARCH (p,q) models. The unique data set we utilized was compiled from 15-min intraday values of the ISE-100 Index which are formed by averaging historical ten-second tick data. This study contributes to the current literature in three distinct ways. Firstly, the basic characteristics of the unique data used in this research were investigated in detail. Secondly, four range-based volatility measures, namely Garman Klass (GK), Yang-Zhang (YZ), Rogers-Satchell (RS) and Parkinson (PK), were employed to take more precise measurements of volatility for intraday data analysis in order to identify the changes in general market sentiment using opening, closing, high and low prices. Thirdly, we estimated the relative efficiency of GK, YZ, RS and PK by applying GARCH (p,q) models. The results are quite promising, indicating that strong opening price jumps are present for daily and morning calculations. They illustrate that the YZ estimator has relatively more power in generating tolerable volatility patterns.
Item Type: | MPRA Paper |
---|---|
Original Title: | The Behavior of Istanbul Stock Exchange Market: An Intraday Volatility/Return Analysis Approach. |
Language: | English |
Keywords: | Intraday volatility, GARCH, Istanbul Stock Exchange |
Subjects: | G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets |
Item ID: | 43656 |
Depositing User: | Serkan Çankaya |
Date Deposited: | 09 Jan 2013 14:54 |
Last Modified: | 27 Sep 2019 01:23 |
References: | Akay O, Griffiths MD, Winters DB (2010). On the Robustness of Range-Based Volatility Estimators. J. Financ. Res., 33: 179-199. Alizahdeh S, Brandt W, Diebold X (2002). Range-based estimation of stochastic volatility models. J. Financ., 57: 1047-1091. Aitken M, Brown P, Walter T (1993). Intraday Patterns in Returns, Trading Volume, Volatility and Trading Frequency on SEATS. University of Western Australia Working Paper. Aydoğan K, Booth G (2003). Calendar anomalies in the Turkish foreign exchange markets. Appl. Financ. Econ., 13: 353-360. Bali T, Weinbaum G (2005). A comparative study of alternative extreme-value volatility estimators. J. Futures Mark., 25(9): 873-892. Baillie R, Bollerslev T (1990). Intra-Day and Inter-Market Volatility in Foreign Exchange Rates. Rev. Econ. Stud., 58(3): 565-585. Beckers S (1983). Variances of Security Price Returns Based on High, Low and Closing Prices. J. Bus., 56(1): 97-112. Bildik R (2004). Are Calendar Anomalies Still Alive?: Evidence from Istanbul Stock Exchange. Reterieved from SSRN: http://ssrn.com/abstract=598904 on February 01, 2010. Bildik R (2001). Intra-day seasonalities on stock returns: evidence from the Turkish Stock Market. Emerg. Mark. Rev., 2(4): 387-417. Chan K, Christie C, Stulz R (1996). Information, trading and stock returns: lessons from dually listed securities. J. Bank. Financ., 20:1161-1187. Chang RP, Fukuda T, Rhee SG, Taakano M (1993). Intraday and interday behavior of the TOPIX. Pasific-Basin Financ. J., 1: 67-95. Cyree KB, Winters DB (2001). An Intraday Examination of the Federal Funds Market: Implications for the Theories of the Reverse-J Pattern. J. Bus., 74(4): 535-556. Demirer R, Baha M (2002). An Investigation of the Day-of-the-Week Effect on Stock Returns in Turkey. Emerg. Mark. Financ. Trade,38(6): 47-77. Ederington LH, Lee JH (1993). How Markets Process Information: News Releases and Volatility. J. Financ., 48(4): 1161-1191. Edwards FR (1988). Futures Trading and Cash Market Volatility: Stock Index and Interest Rate Futures. J. Futures Mark., 8(4): 421-439. Foster FD, Viswanathan S (1990). A Theory of Interday Variations in Volumes, Variances and Trading Costs in Securities Markets. Rev. Financ. Stud., 4: 595-624. Gerety MS, Mulherin JH (1992). Trading Halts and Market Activity: An Analysis of Volume at the Open and the Close. J. Financ., 47: 1765-84. Garman M, Klass M (1980). On the estimation of security price volatilities from historical data. J. Bus., 53(1): 67-78. Harris L (1986). A transaction data study of weekly and intradaily patterns in stock returns. J. Financ. Econ., 16(1): 99-117. Harris L (1989). SandP 500 Cash Stock Price Volatilities. J. Financ., 44(5): 1155-75. Hong H. Wang J (2000). Trading and Returns under Periodic Market Closures. J. Financ., 55(1): 297-354. Istanbul Stock Exchange.Retrieved from Istanbul Stock Exchange on February 16, 2010: http://www.ise.org/Markets/StockMarket.aspx Jain PC, Gun-Ho J (1988). The Dependence between Hourly Prices and Trading Volume. J. Financ. Quant. Anal., 23:269-283. Kalev PS. Pham LT (2009). Intraweek and intraday trade patterns and dynamics. Pacific-Basin Financ. J., 17:547-564. King M, Wadhwani S (1990). Transmission of volatility between stock markets. Rev. Financ. Stud., 3: 5-33. LeBaron B (1992). Some relations between volatility and serial correlations in stock market returns. J. Bus., 65: 199-219. Lockwood LJ, Linn SC (1990). An Examination of Stock Market Return Volatility During Overnight and Intraday Periods, 1964-1989. J.Financ., 45(2): 591-601 Lowengrub P, Melvin M (2002). Before and after international crosslisting: an intraday examination of volume and volatility. J. Int. Financ. Mark. Inst. Money, 12(2): 139-155. McInish HT, Wood RA (1990a). A transactions data analysis of the variability of common stock returns during 1980-1984. J. Bank.Financ., 14(1): 99-112. McInish HT, Wood RA (1990b). An analysis of transactions data for the Toronto Stock Exchange : Return patterns and end-of-the-day effect. J. Bank. Financ., 14(2-3): 441-458. Niemayer J, Sanda P (1993). The Market Microstructure of the Stockholm Stock Exchange. Stockholm School of Economics Working Paper. Parkinson M (1980). The extreme value method for estimating the variance of the rate of return. J. Bus., 53: 61-68. Rogers L, Satchell S (1991). Estimating variance from high, low and closing prices. Ann. Appl. Prob., 1: 504-512. Smirlock M, Starks L (1986). Day-of-the-Week and Intraday Effects in Stock Returns. J. Financ. Econ., 17: 197-210. Stoll HR, Whaley RE (1990). Stock Market Structure and Volatility. Rev. Financ. Stud., 3: 37-71. Wiggins JB (1991) . Empirical Tests of the Bias and Efficiency of the Extreme-Values Variance Estimator for Common Stocks. J. Bus.,64(3): 417-432. Wood RA, McInish TH, Ord JK (1985). An Investigation of Transactions Data for NYSE Stocks. J. Financ., 40(3): 723-39. Yang D, Zhang Q (2002). Drift independent volatility estimation based on high, low, open and close prices. J. Bus., 73: 477-491. Yadav PK, Pope PF (1992). Intraweek and intraday seasonalities in stock market risk premia: cash and futures. J. Bank. Financ., 16: 233-270. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/43656 |