Research Article
BibTex RIS Cite

MAKROEKONOMİK GÖSTERGELER VE LİKİDİTE: TÜRKİYE BORSASINDA ARDL YAKLAŞIMI İLE UZUN VE KISA DÖNEMLİ DİNAMİK ETKİLER

Year 2025, Volume: 16 Issue: 31, 467 - 494, 27.06.2025
https://doi.org/10.36543/kauiibfd.2025.018

Abstract

Borsa likiditesi, hisse senedi piyasasının iyi işlediğini, piyasada istikrarın olduğunu ve yatırımcıların hisse senetlerine olan duyarlılığını gösteren en önemli göstergelerden biridir. Borsa likiditesi aynı zamanda para ve sermaye piyasasındaki likiditenin ve piyasa dinamiklerinin derinliğini görmek açısında da önemli bir belirleyici olarak öne çıkmaktadır. Borsa likiditesinin öneminden yola çıkarak bu makalede, para, maliye ve genel ekonomik görünüme ait bazı makroekonomik göstergelerin uzun ve kısa dönemde borsa likiditesi üzerindeki dinamik etkisi simetrik ARDL yöntemi ile incelemek amaçlanmıştır. ARDL bulgularında faiz, döviz kuru, merkezi yönetim harcamaları, petrol, sanayi üretim endeksi ve tüketici fiyat endeksinin borsa likiditesi üzerindeki etkisinin varlığını göstermektedir.

References

  • Abudy, M. M. (2020). Retail investor’s trading and stock market liquidity. The North American Journal of Economics and Finance, 54, 101281. https://doi.org/10.1016/j.najef.2020.101281.
  • Admati, A. R., & Pfleiderer, P. (1988). A theory of intraday patterns: volume and price variability. The Review of Financial Studies, 1(1), 3-40. https://doi.org/10.1093/rfs/1.1.3.
  • Ahmed, R., Hudson, R., & Gregoriou, A. (2023). The implications of liquidity ratios: evidence from Pakistan stock exchange limited. The Quarterly Review of Economics and Finance, 87, 235-243. https://doi.org/10.1016/j.qref.2020.12.006.
  • Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716-723. https://doi.org/10.1109/tac.1974.1100705.
  • Alaoui Mdaghri, A., Raghibi, A., Thanh, C. N., & Oubdi, L. (2021). Stock market liquidity, the great lockdown and the Covid-19 global pandemic nexus in MENA countries. Review of Behavioral Finance, 13(1), 51-68. https://doi.org/10.1108/rbf-06-2020-0132.
  • Ali, S., Liu, B., & Su, J. J. (2017). Corporate governance and stock liquidity dimensions: panel evidence from pure order-driven Australian market. International Review of Economics & Finance, 50, 275-304. https://doi.org/10.1016/j.iref.2017.03.005.
  • Altunöz, U. (2021). Vadeli işlem sözleşmelerinin (futures) getiri, hacim ve volatilitesinde makroekonomik göstergelerin rolü: vadeli işlem opsiyon piyasası (VIOP) üzerine bir uygulama. Journal of International Social Research, 14(79), 134-151. https://doi.org/10.17719/jisr.2021.35948.
  • Amihud, Y. (2002). Illiquidity and stock returns: cross-section and time-series effects. Journal of Financial Markets, 5(1), 31-56. https://doi.org/10.1016/S1386-4181(01)00024-6.
  • Amihud, Y., Mendelson, H., & Pedersen, L. H. (2006). Liquidity and asset prices. Foundations and Trends in Finance, 1(4), 269-364. http://dx.doi.org/10.1561/0500000003.
  • Arjoon, V., Bougheas, S., & Milner, C. (2016). Lead-lag relationships in an embryonic stock market: exploring the role of institutional ownership and liquidity. Research in International Business and Finance, 38, 262-276. https://doi.org/10.1016/j.ribaf.2016.04.012.
  • Bekhet, H. A., & bt Othman, N. S. (2012). Examining the role of fiscal policy in Malaysian stock market. International Business Research, 5(12), 59-67. https://doi.org/10.5539/ibr.v5n12p59.
  • Brandao-Marques, M. L. (2016). Stock market liquidity in Chile. IMF Working Papers, WP/16/223, 1-26. https://doi.org/10.5089/9781475554656.001.
  • Brennan, M. J., Chordia, T., Subrahmanyam, A., & Tong, Q. (2012). Sell-order liquidity and the cross-section of expected stock returns. Journal of Financial Economics, 105(3), 523-541. https://doi.org/10.1016/j.jfineco.2012.04.006.
  • Brogaard, J., Li, D., & Xia, Y. (2017). Stock liquidity and default risk. Journal of Financial Economics, 124(3), 486-502. https://doi.org/10.1016/j.jfineco.2017.03.003.
  • Brown, R. L., Durbin, J., & Evans, J. M. (1975). Techniques for testing the constancy of regression relationships over time. Journal of the Royal Statistical Society: Series B (Methodological), 37(2), 149-163. https://doi.org/10.1111/j.2517-6161.1975.tb01532.x.
  • Butler, A., Grullon, G., & Weston, J. (2005). Stock market liquidity and the cost of issuing equity. J. Financ. Quant. Anal, 40(2), 331-348. https://doi.org/10.1017/s0022109000002337.
  • Camba Jr, A. C., & Camba, A. L. (2020). The dynamic relationship of domestic credit and stock market liquidity on the economic growth of the Philippines. The Journal of Asian Finance, Economics and Business, 7(1), 37-46. https://doi.org/10.13106/jafeb.2020.vol7.no1.37.
  • Canbaz, M. (2019). Milli gelir, bankacılık kredi ve mevduat hacmi ile menkul kıymetler borsası işlem hacmi etkileşimi. OPUS International Journal of Society Researches, 13(19), 2592-2626. https://doi.org/10.26466/opus.588751.
  • Chang, X., Chen, Y., & Zolotoy, L. (2017). Stock liquidity and stock price crash risk. Journal of Financial and Quantitative Qnalysis, 52(4), 1605-1637. https://doi.org/10.1017/S0022109017000473.
  • Chiad, F., & Hadj Sahraoui, H. (2022). Macroeconomic determinants of stock market development: evidence from panel data analysis. MPRA Paper No. 113797, 4, 1-10. Available at: https://mpra.ub.uni-muenchen.de/id/eprint/113797.
  • Choi, W. G., & Cook, D. (2006). Stock market liquidity and the macroeconomy: evidence from Japan. IMF Working Papers, WP/05/6, 1-29. Available at: http://www.nber.org/chapters/c10146.
  • Chordia, T., Roll, R., & Subrahmanyam, A. (2001). Market liquidity and trading activity. The Journal of Finance, 56(2), 501-530. https://doi.org/10.1111/0022-1082.00335.
  • Chowdhury, A., Uddin, M., & Anderson, K. (2018). Liquidity and macroeconomic management in emerging markets. Emerging Markets Review, 34, 1-24. https://doi.org/10.1016/j.ememar.2017.10.001.
  • Çiftçi, G., & Reis, Ş. G. (2020). Risk iştahı ile piyasa likiditesi arasındaki nedensellik ilişkisi. Ekonomi Politika ve Finans Araştırmaları Dergisi, 5(2), 389-403. https://doi.org/10.30784/epfad.687595.
  • Darolles, S., & Le Fol, G. (2014). Trading volume and arbitrage. GSTF: Journal on Business Review, 3(3), 1-12. http://dx.doi.org/10.5176/2010-4804_3.3.321.
  • Das, K. K., & Yaghoubi, M. (2023). Stock liquidity and firm-level political risk. Finance Research Letters, 51, 103419. https://doi.org/10.1016/j.frl.2022.103419.
  • Dash, S. R., Maitra, D., Debata, B., & Mahakud, J. (2021). Economic policy uncertainty and stock market liquidity: evidence from G7 countries. International Review of Finance, 21(2), 611-626. https://doi.org/10.1111/irfi.12277.
  • Debata, B., Dash, S. R., & Mahakud, J. (2018). Investor sentiment and emerging stock market liquidity. Finance Research Letters, 26, 15-31. https://doi.org/10.1016/j.frl.2017.11.006.
  • Dickey D. A, & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica: Journal of the Econometric Society 49(4), 1057-1072. https://www.jstor.org/stable/1912517.
  • Domowitz, I., & Wang, J. (1994). Auctions as algorithms: computerized trade execution and price discovery. Journal of Economic Dynamics and Control, 18(1), 29-60. https://doi.org/10.1016/0165-1889(94)90068-x.
  • Ehrmann, M., Fratzscher, M., & Rigobon, R. (2011). Stocks, bonds, money markets and exchange rates: measuring international financial transmission. Journal of Applied Econometrics, 26(6), 948-974. https://doi.org/10.1002/jae.1173.
  • Ekinci, C., Akyildirim, E., & Corbet, S. (2019). Analysing the dynamic influence of US macroeconomic news releases on Turkish stock markets. Finance Research Letters, 31, 155-164. https://doi.org/10.1016/j.frl.2019.04.02.
  • Elçiçek, Y. K., & Kayalıdere, K. (2021). VİOP 30 vadeli işlem sözleşmesi ile çeşitli makroekonomik faktörler arasındaki ilişkinin incelenmesi. Muhasebe ve Finansman Dergisi, (89), 203-220. https://doi.org/10.25095/mufad.852148.
  • Florackis, C., Giorgioni, G., Kostakis, A., & Milas, C. (2014). On stock market illiquidity and real-time GDP growth. Journal of International Money and Finance, 44, 210-229. https://doi.org/10.1016/j.jimonfin.2014.02.006.
  • Gallant, A. R., Rossi, P. E., & Tauchen, G. (1992). Stock prices and volume. The Review of Financial Studies, 5(2), 199-242. https://doi.org/10.1093/rfs/5.2.199.
  • Güzel, F., & Şekeroğlu, G. (2021). Factors affecting Borsa İstanbul trading volume and overconfidence bias. Journal of Yasar University, 16(63), 1119-1132. https://doi.org/10.19168/jyasar.934577.
  • Ho, S. Y., & Odhiambo, N. M. (2016). Stock market development in the Philippines: past and present. Philippine Journal of Development, 41-42(1/2), 135-156. Available at: https://pidswebs.pids.gov.ph/cdn/publications/pidspjd14-15_stockmarket.pdf.
  • Huffman, G. W. (1987). A dynamic equilibrium model of asset prices and transaction volume. Journal of Political Economy, 95(1), 138-159. https://doi.org/10.1086/261445.
  • Hvozdyk, L., & Rustanov, S. (2016). The effect of financial transaction tax on market liquidity and volatility: an Italian perspective. International Review of Financial Analysis, 45, 62-78. https://doi.org/10.1016/j.irfa.2016.01.018.
  • Karamustafa, O., & Karakaya, A. (2004). Enflasyonun borsa performansı üzerindeki etkisi. Kocaeli Üniversitesi Sosyal Bilimler Dergisi, (7), 23-35. https://dergipark.org.tr/en/download/article-file/252055.
  • Karpoff, J. M. (1987). The relation between price changes and trading volume: a survey. Journal of Financial and Quantitative Analysis, 22(1), 109-126. https://doi.org/10.2307/2330874.
  • Kennedy, P. (2008). A Guide to Econometrics (6th ed.). Oxford: Blackwell Publishing.
  • Khan, M. A., Hussain, A., Ali, M. M., & Tajummul, M. A. (2022). Assessing the impact of liquidity on the value of assets return. Global Business Management Review (GBMR), 14(1), 54-76. https://doi.org/10.32890/gbmr2022.14.1.5.
  • Kumar, G., & Misra, A. K. (2015). Closer view at the stock market liquidity: a literature review. Asian Journal of Finance & Accounting, 7(2), 35-57. https://doi.org/10.5296/ajfa.v7i2.8136.
  • Le, H., & Gregoriou, A. (2020). How do you capture liquidity? A review of the literature on low‐frequency stock liquidity. Journal of Economic Surveys, 34(5), 1170-1186. https://doi.org/10.1111/joes.12385.
  • Liu, S. (2015). Investor sentiment and stock market liquidity. Journal of Behavioral Finance, 16(1), 51-67. https://doi.org/10.1080/15427560.2015.1000334.
  • Lyu, X., & Hu, H. (2024). The dynamic impact of monetary policy on stock market liquidity. Economic Analysis and Policy, 81, 388-405. https://doi.org/10.1016/j.eap.2023.12.007.
  • Mannoun, R., & Sjöblom, D. (2021). Modeling stock market liquidity using macroeconomic variables: Evidence from Sweden. Lund University School of Economics and Management, SE-223 63, Lund.
  • Mishra, A. K., Parikh, B., & Spahr, R. W. (2020). Stock market liquidity, funding liquidity, financial crises and quantitative easing. International Review of Economics & Finance, 70, 456-478. https://doi.org/10.1016/j.iref.2020.08.013.
  • Mousa, R. A. A. (2016). The impact of macroeconomic variables on Amman Stock Exchange (ASE) liquidity measurements. Research Journal of Finance and Accounting, 7(20), 40-44. Available at: https://www.iiste.org/Journals/index.php/rjfa/article/view/33669/34614.
  • Naik, P., & Reddy, Y. V. (2021). Stock market liquidity: A literature review. Sage Open, 11(1), 1-15. https://doi.org/10.1177/2158244020985529.
  • Naik, P., & Reddy, Y. V. (2024). Determinants of stock market liquidity-a macroeconomic perspective. Macroeconomics and Finance in Emerging Market Economies, 17(1), 153-173. https://doi.org/10.1080/17520843.2021.1983705.
  • Newey, W. K., & West, K. D. (1994). Automatic lag selection in covariance matrix estimation. The Review of Economic Studies, 61(4), 631-653. https://doi.org/10.2307/2297912.
  • Onyele, K. O., Ikwuagwu, E. B., & Onyekachi-Onyele, C. (2020). Macroeconomic policies and stock market liquidity: Evidence from Nigeria. Economy, 7(1), 25-35. https://doi.org/10.20448/journal.502.2020.71.25.35.
  • Özgümüş, H., Korkmaz, T., & Çevik, E. İ. (2013). Makroekonomik faktörlerin vadeli işlem futures sözleşmelerine etkisi: VOB’ta bir uygulama. BDDK Bankacılık ve Finansal Piyasalar Dergisi, 7(1), 103-136.
  • Öztürk Çetanak, Ö. Ö., & Haykır, Ö. (2019). Borsa likiditesi ile ekonomik büyüme arasındaki ilişki: Borsa İstanbul örneği. Kahramanmaraş Sütçü İmam Üniversitesi Sosyal Bilimler Dergisi, 16(2), 576-591. https://orcid.org/10.33437/ksusbd.552463.
  • Pan, B. (2023). The asymmetric dynamics of stock-bond liquidity correlation in China: the role of macro-financial determinants. Economic Modelling, 124, 106295. https://doi.org/10.1016/j.econmod.2023.106295.
  • Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326. https://doi.org/10.1002/jae.616.
  • Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346. https://doi.org/10.1093/biomet/75.2.335.
  • Reddy, S. Wadhwa, K., & Goyal, A. (2017). Determinants of commonality in liquidity: evidence from an order-driven emerging market. North American Journal of Economics and Finance, 42, 38-52. https://doi.org/10.1016/j.najef.2017.07.003.
  • Rousseau, P. L., & Wachtel, P. (2000). Equity markets and growth: cross-country evidence on timing and outcomes, 1980-1995. Journal of Banking & Finance, 24(12), 1933-1957. https://doi.org/10.1016/s0378-4266(99)00123-5.
  • Santoso, W., Harun, C. A., Hidayat, T., & Wonida, H. (2010). Market liquidity risk as an indicator of financial stability: The case of Indonesia. Bank of Indonesia, 1-22, Available at: https://www.bis.org/repofficepubl/arpresearch201003.05.pdf.
  • Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6(2), 461-464. https://www.jstor.org/stable/2958889.
  • Siddiqi, M. M, Aziz, A., Maria, Mirza, M. H., & Atique, A. (2021). Impact of macroeconomic variables on stock market liquidity. Psychology and Education, 58(3), 3263-3268. https://doi.org/10.17762/pae.v58i3.4480.
  • Siikanen, M., Kanniainen, J., & Valli, J. (2017). Limit order boks and liquidity around scheduled and non-scheduled announcements: empirical evidence from NASDAQ Nordic. Finance Research Letters, 21, 264-271. https://doi.org/10.1016/j.frl.2016.12.016.
  • Stoian, A., & Iorgulescu, F. (2020). Fiscal policy and stock market efficiency: an ARDL bounds testing approach. Economic Modelling, 90, 406-416. https://doi.org/10.1016/j.econmod.2019.12.023.
  • Ülengin, B., & Yobaş, M. B. (1997). Borsa birleşme ve satın almalarının işlem hacmi üzerindeki etkisi. İMKB Dergisi, 13(52), 40-63. Available at: https://www.borsaistanbul.com/datum/imkbdergi/imkb_dergisi_turkce52.pdf.
  • Wan, X. (2020). The impact of short-selling and margin-buying on liquidity: evidence from the Chinese stock market. Journal of Empirical Finance, 55, 104-118. https://doi.org/10.1016/j.jempfin.2019.11.003.
  • Wu, R., & Qin, Z. (2021). Assessing market efficiency and liquidity: evidence from China's emissions trading scheme pilots. Science of the Total Environment, 769, 144707. https://doi.org/10.1016/j.scitotenv.2020.144707.
  • Ye, Q., Zhou, S., & Zhang, J. (2020). Short-selling, margin-trading, and stock liquidity: evidence from the Chinese stock markets. International Review of Financial Analysis, 71, 101549. https://doi.org/10.1016/j.irfa.2020.101549.
  • Yılmaz, T. (2023). Türkiye’de sıcak para hareketleri ile borsa getirisi ve likiditesi arasında asimetrik ve nedensellik ilişkinin analizi. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 10(1), 530-559. https://doi.org/10.30798/makuiibf.1218997.
  • Yobaş, M. B. (2014). Effects of macroeconomic variables on stock exchange trading volume. Unpublished Ph. D. Thesis, İstanbul Technical University, İstanbul.
  • Zaremba, A., Aharon, D. Y., Demir, E., Kizys, R., & Zawadka, D. (2021). Covid-19, government policy responses, and stock market liquidity around the world: a note. Research in International Business and Finance, 56, 101359. https://doi.org/10.1016/j.ribaf.2020.101359.

MACROECONOMIC INDICATORS AND LIQUIDITY: LONG AND SHORT RUN DYNAMIC EFFECTS ON THE TÜRKİYE STOCK EXCHANGE WITH THE ARDL APPROACH

Year 2025, Volume: 16 Issue: 31, 467 - 494, 27.06.2025
https://doi.org/10.36543/kauiibfd.2025.018

Abstract

Stock market liquidity is a key indicator of market functionality, stability and investor sentiment. Furthermore, stock market liquidity serves as a crucial indicator for gauging the depth of liquidity and market dynamics in money and capital markets. In light of the pivotal role of stock market liquidity, this article seeks to examine the dynamic influence of select macroeconomic indicators pertaining to monetary, fiscal, and general economic outlook on stock market liquidity in both the long and short run. To this end, the symmetric ARDL method is employed. The ARDL findings indicate that interest rate, exchange rate, central government expenditures, oil, industrial production index, and consumer price index exert a discernible impact on stock market liquidity.

References

  • Abudy, M. M. (2020). Retail investor’s trading and stock market liquidity. The North American Journal of Economics and Finance, 54, 101281. https://doi.org/10.1016/j.najef.2020.101281.
  • Admati, A. R., & Pfleiderer, P. (1988). A theory of intraday patterns: volume and price variability. The Review of Financial Studies, 1(1), 3-40. https://doi.org/10.1093/rfs/1.1.3.
  • Ahmed, R., Hudson, R., & Gregoriou, A. (2023). The implications of liquidity ratios: evidence from Pakistan stock exchange limited. The Quarterly Review of Economics and Finance, 87, 235-243. https://doi.org/10.1016/j.qref.2020.12.006.
  • Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716-723. https://doi.org/10.1109/tac.1974.1100705.
  • Alaoui Mdaghri, A., Raghibi, A., Thanh, C. N., & Oubdi, L. (2021). Stock market liquidity, the great lockdown and the Covid-19 global pandemic nexus in MENA countries. Review of Behavioral Finance, 13(1), 51-68. https://doi.org/10.1108/rbf-06-2020-0132.
  • Ali, S., Liu, B., & Su, J. J. (2017). Corporate governance and stock liquidity dimensions: panel evidence from pure order-driven Australian market. International Review of Economics & Finance, 50, 275-304. https://doi.org/10.1016/j.iref.2017.03.005.
  • Altunöz, U. (2021). Vadeli işlem sözleşmelerinin (futures) getiri, hacim ve volatilitesinde makroekonomik göstergelerin rolü: vadeli işlem opsiyon piyasası (VIOP) üzerine bir uygulama. Journal of International Social Research, 14(79), 134-151. https://doi.org/10.17719/jisr.2021.35948.
  • Amihud, Y. (2002). Illiquidity and stock returns: cross-section and time-series effects. Journal of Financial Markets, 5(1), 31-56. https://doi.org/10.1016/S1386-4181(01)00024-6.
  • Amihud, Y., Mendelson, H., & Pedersen, L. H. (2006). Liquidity and asset prices. Foundations and Trends in Finance, 1(4), 269-364. http://dx.doi.org/10.1561/0500000003.
  • Arjoon, V., Bougheas, S., & Milner, C. (2016). Lead-lag relationships in an embryonic stock market: exploring the role of institutional ownership and liquidity. Research in International Business and Finance, 38, 262-276. https://doi.org/10.1016/j.ribaf.2016.04.012.
  • Bekhet, H. A., & bt Othman, N. S. (2012). Examining the role of fiscal policy in Malaysian stock market. International Business Research, 5(12), 59-67. https://doi.org/10.5539/ibr.v5n12p59.
  • Brandao-Marques, M. L. (2016). Stock market liquidity in Chile. IMF Working Papers, WP/16/223, 1-26. https://doi.org/10.5089/9781475554656.001.
  • Brennan, M. J., Chordia, T., Subrahmanyam, A., & Tong, Q. (2012). Sell-order liquidity and the cross-section of expected stock returns. Journal of Financial Economics, 105(3), 523-541. https://doi.org/10.1016/j.jfineco.2012.04.006.
  • Brogaard, J., Li, D., & Xia, Y. (2017). Stock liquidity and default risk. Journal of Financial Economics, 124(3), 486-502. https://doi.org/10.1016/j.jfineco.2017.03.003.
  • Brown, R. L., Durbin, J., & Evans, J. M. (1975). Techniques for testing the constancy of regression relationships over time. Journal of the Royal Statistical Society: Series B (Methodological), 37(2), 149-163. https://doi.org/10.1111/j.2517-6161.1975.tb01532.x.
  • Butler, A., Grullon, G., & Weston, J. (2005). Stock market liquidity and the cost of issuing equity. J. Financ. Quant. Anal, 40(2), 331-348. https://doi.org/10.1017/s0022109000002337.
  • Camba Jr, A. C., & Camba, A. L. (2020). The dynamic relationship of domestic credit and stock market liquidity on the economic growth of the Philippines. The Journal of Asian Finance, Economics and Business, 7(1), 37-46. https://doi.org/10.13106/jafeb.2020.vol7.no1.37.
  • Canbaz, M. (2019). Milli gelir, bankacılık kredi ve mevduat hacmi ile menkul kıymetler borsası işlem hacmi etkileşimi. OPUS International Journal of Society Researches, 13(19), 2592-2626. https://doi.org/10.26466/opus.588751.
  • Chang, X., Chen, Y., & Zolotoy, L. (2017). Stock liquidity and stock price crash risk. Journal of Financial and Quantitative Qnalysis, 52(4), 1605-1637. https://doi.org/10.1017/S0022109017000473.
  • Chiad, F., & Hadj Sahraoui, H. (2022). Macroeconomic determinants of stock market development: evidence from panel data analysis. MPRA Paper No. 113797, 4, 1-10. Available at: https://mpra.ub.uni-muenchen.de/id/eprint/113797.
  • Choi, W. G., & Cook, D. (2006). Stock market liquidity and the macroeconomy: evidence from Japan. IMF Working Papers, WP/05/6, 1-29. Available at: http://www.nber.org/chapters/c10146.
  • Chordia, T., Roll, R., & Subrahmanyam, A. (2001). Market liquidity and trading activity. The Journal of Finance, 56(2), 501-530. https://doi.org/10.1111/0022-1082.00335.
  • Chowdhury, A., Uddin, M., & Anderson, K. (2018). Liquidity and macroeconomic management in emerging markets. Emerging Markets Review, 34, 1-24. https://doi.org/10.1016/j.ememar.2017.10.001.
  • Çiftçi, G., & Reis, Ş. G. (2020). Risk iştahı ile piyasa likiditesi arasındaki nedensellik ilişkisi. Ekonomi Politika ve Finans Araştırmaları Dergisi, 5(2), 389-403. https://doi.org/10.30784/epfad.687595.
  • Darolles, S., & Le Fol, G. (2014). Trading volume and arbitrage. GSTF: Journal on Business Review, 3(3), 1-12. http://dx.doi.org/10.5176/2010-4804_3.3.321.
  • Das, K. K., & Yaghoubi, M. (2023). Stock liquidity and firm-level political risk. Finance Research Letters, 51, 103419. https://doi.org/10.1016/j.frl.2022.103419.
  • Dash, S. R., Maitra, D., Debata, B., & Mahakud, J. (2021). Economic policy uncertainty and stock market liquidity: evidence from G7 countries. International Review of Finance, 21(2), 611-626. https://doi.org/10.1111/irfi.12277.
  • Debata, B., Dash, S. R., & Mahakud, J. (2018). Investor sentiment and emerging stock market liquidity. Finance Research Letters, 26, 15-31. https://doi.org/10.1016/j.frl.2017.11.006.
  • Dickey D. A, & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica: Journal of the Econometric Society 49(4), 1057-1072. https://www.jstor.org/stable/1912517.
  • Domowitz, I., & Wang, J. (1994). Auctions as algorithms: computerized trade execution and price discovery. Journal of Economic Dynamics and Control, 18(1), 29-60. https://doi.org/10.1016/0165-1889(94)90068-x.
  • Ehrmann, M., Fratzscher, M., & Rigobon, R. (2011). Stocks, bonds, money markets and exchange rates: measuring international financial transmission. Journal of Applied Econometrics, 26(6), 948-974. https://doi.org/10.1002/jae.1173.
  • Ekinci, C., Akyildirim, E., & Corbet, S. (2019). Analysing the dynamic influence of US macroeconomic news releases on Turkish stock markets. Finance Research Letters, 31, 155-164. https://doi.org/10.1016/j.frl.2019.04.02.
  • Elçiçek, Y. K., & Kayalıdere, K. (2021). VİOP 30 vadeli işlem sözleşmesi ile çeşitli makroekonomik faktörler arasındaki ilişkinin incelenmesi. Muhasebe ve Finansman Dergisi, (89), 203-220. https://doi.org/10.25095/mufad.852148.
  • Florackis, C., Giorgioni, G., Kostakis, A., & Milas, C. (2014). On stock market illiquidity and real-time GDP growth. Journal of International Money and Finance, 44, 210-229. https://doi.org/10.1016/j.jimonfin.2014.02.006.
  • Gallant, A. R., Rossi, P. E., & Tauchen, G. (1992). Stock prices and volume. The Review of Financial Studies, 5(2), 199-242. https://doi.org/10.1093/rfs/5.2.199.
  • Güzel, F., & Şekeroğlu, G. (2021). Factors affecting Borsa İstanbul trading volume and overconfidence bias. Journal of Yasar University, 16(63), 1119-1132. https://doi.org/10.19168/jyasar.934577.
  • Ho, S. Y., & Odhiambo, N. M. (2016). Stock market development in the Philippines: past and present. Philippine Journal of Development, 41-42(1/2), 135-156. Available at: https://pidswebs.pids.gov.ph/cdn/publications/pidspjd14-15_stockmarket.pdf.
  • Huffman, G. W. (1987). A dynamic equilibrium model of asset prices and transaction volume. Journal of Political Economy, 95(1), 138-159. https://doi.org/10.1086/261445.
  • Hvozdyk, L., & Rustanov, S. (2016). The effect of financial transaction tax on market liquidity and volatility: an Italian perspective. International Review of Financial Analysis, 45, 62-78. https://doi.org/10.1016/j.irfa.2016.01.018.
  • Karamustafa, O., & Karakaya, A. (2004). Enflasyonun borsa performansı üzerindeki etkisi. Kocaeli Üniversitesi Sosyal Bilimler Dergisi, (7), 23-35. https://dergipark.org.tr/en/download/article-file/252055.
  • Karpoff, J. M. (1987). The relation between price changes and trading volume: a survey. Journal of Financial and Quantitative Analysis, 22(1), 109-126. https://doi.org/10.2307/2330874.
  • Kennedy, P. (2008). A Guide to Econometrics (6th ed.). Oxford: Blackwell Publishing.
  • Khan, M. A., Hussain, A., Ali, M. M., & Tajummul, M. A. (2022). Assessing the impact of liquidity on the value of assets return. Global Business Management Review (GBMR), 14(1), 54-76. https://doi.org/10.32890/gbmr2022.14.1.5.
  • Kumar, G., & Misra, A. K. (2015). Closer view at the stock market liquidity: a literature review. Asian Journal of Finance & Accounting, 7(2), 35-57. https://doi.org/10.5296/ajfa.v7i2.8136.
  • Le, H., & Gregoriou, A. (2020). How do you capture liquidity? A review of the literature on low‐frequency stock liquidity. Journal of Economic Surveys, 34(5), 1170-1186. https://doi.org/10.1111/joes.12385.
  • Liu, S. (2015). Investor sentiment and stock market liquidity. Journal of Behavioral Finance, 16(1), 51-67. https://doi.org/10.1080/15427560.2015.1000334.
  • Lyu, X., & Hu, H. (2024). The dynamic impact of monetary policy on stock market liquidity. Economic Analysis and Policy, 81, 388-405. https://doi.org/10.1016/j.eap.2023.12.007.
  • Mannoun, R., & Sjöblom, D. (2021). Modeling stock market liquidity using macroeconomic variables: Evidence from Sweden. Lund University School of Economics and Management, SE-223 63, Lund.
  • Mishra, A. K., Parikh, B., & Spahr, R. W. (2020). Stock market liquidity, funding liquidity, financial crises and quantitative easing. International Review of Economics & Finance, 70, 456-478. https://doi.org/10.1016/j.iref.2020.08.013.
  • Mousa, R. A. A. (2016). The impact of macroeconomic variables on Amman Stock Exchange (ASE) liquidity measurements. Research Journal of Finance and Accounting, 7(20), 40-44. Available at: https://www.iiste.org/Journals/index.php/rjfa/article/view/33669/34614.
  • Naik, P., & Reddy, Y. V. (2021). Stock market liquidity: A literature review. Sage Open, 11(1), 1-15. https://doi.org/10.1177/2158244020985529.
  • Naik, P., & Reddy, Y. V. (2024). Determinants of stock market liquidity-a macroeconomic perspective. Macroeconomics and Finance in Emerging Market Economies, 17(1), 153-173. https://doi.org/10.1080/17520843.2021.1983705.
  • Newey, W. K., & West, K. D. (1994). Automatic lag selection in covariance matrix estimation. The Review of Economic Studies, 61(4), 631-653. https://doi.org/10.2307/2297912.
  • Onyele, K. O., Ikwuagwu, E. B., & Onyekachi-Onyele, C. (2020). Macroeconomic policies and stock market liquidity: Evidence from Nigeria. Economy, 7(1), 25-35. https://doi.org/10.20448/journal.502.2020.71.25.35.
  • Özgümüş, H., Korkmaz, T., & Çevik, E. İ. (2013). Makroekonomik faktörlerin vadeli işlem futures sözleşmelerine etkisi: VOB’ta bir uygulama. BDDK Bankacılık ve Finansal Piyasalar Dergisi, 7(1), 103-136.
  • Öztürk Çetanak, Ö. Ö., & Haykır, Ö. (2019). Borsa likiditesi ile ekonomik büyüme arasındaki ilişki: Borsa İstanbul örneği. Kahramanmaraş Sütçü İmam Üniversitesi Sosyal Bilimler Dergisi, 16(2), 576-591. https://orcid.org/10.33437/ksusbd.552463.
  • Pan, B. (2023). The asymmetric dynamics of stock-bond liquidity correlation in China: the role of macro-financial determinants. Economic Modelling, 124, 106295. https://doi.org/10.1016/j.econmod.2023.106295.
  • Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326. https://doi.org/10.1002/jae.616.
  • Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346. https://doi.org/10.1093/biomet/75.2.335.
  • Reddy, S. Wadhwa, K., & Goyal, A. (2017). Determinants of commonality in liquidity: evidence from an order-driven emerging market. North American Journal of Economics and Finance, 42, 38-52. https://doi.org/10.1016/j.najef.2017.07.003.
  • Rousseau, P. L., & Wachtel, P. (2000). Equity markets and growth: cross-country evidence on timing and outcomes, 1980-1995. Journal of Banking & Finance, 24(12), 1933-1957. https://doi.org/10.1016/s0378-4266(99)00123-5.
  • Santoso, W., Harun, C. A., Hidayat, T., & Wonida, H. (2010). Market liquidity risk as an indicator of financial stability: The case of Indonesia. Bank of Indonesia, 1-22, Available at: https://www.bis.org/repofficepubl/arpresearch201003.05.pdf.
  • Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6(2), 461-464. https://www.jstor.org/stable/2958889.
  • Siddiqi, M. M, Aziz, A., Maria, Mirza, M. H., & Atique, A. (2021). Impact of macroeconomic variables on stock market liquidity. Psychology and Education, 58(3), 3263-3268. https://doi.org/10.17762/pae.v58i3.4480.
  • Siikanen, M., Kanniainen, J., & Valli, J. (2017). Limit order boks and liquidity around scheduled and non-scheduled announcements: empirical evidence from NASDAQ Nordic. Finance Research Letters, 21, 264-271. https://doi.org/10.1016/j.frl.2016.12.016.
  • Stoian, A., & Iorgulescu, F. (2020). Fiscal policy and stock market efficiency: an ARDL bounds testing approach. Economic Modelling, 90, 406-416. https://doi.org/10.1016/j.econmod.2019.12.023.
  • Ülengin, B., & Yobaş, M. B. (1997). Borsa birleşme ve satın almalarının işlem hacmi üzerindeki etkisi. İMKB Dergisi, 13(52), 40-63. Available at: https://www.borsaistanbul.com/datum/imkbdergi/imkb_dergisi_turkce52.pdf.
  • Wan, X. (2020). The impact of short-selling and margin-buying on liquidity: evidence from the Chinese stock market. Journal of Empirical Finance, 55, 104-118. https://doi.org/10.1016/j.jempfin.2019.11.003.
  • Wu, R., & Qin, Z. (2021). Assessing market efficiency and liquidity: evidence from China's emissions trading scheme pilots. Science of the Total Environment, 769, 144707. https://doi.org/10.1016/j.scitotenv.2020.144707.
  • Ye, Q., Zhou, S., & Zhang, J. (2020). Short-selling, margin-trading, and stock liquidity: evidence from the Chinese stock markets. International Review of Financial Analysis, 71, 101549. https://doi.org/10.1016/j.irfa.2020.101549.
  • Yılmaz, T. (2023). Türkiye’de sıcak para hareketleri ile borsa getirisi ve likiditesi arasında asimetrik ve nedensellik ilişkinin analizi. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 10(1), 530-559. https://doi.org/10.30798/makuiibf.1218997.
  • Yobaş, M. B. (2014). Effects of macroeconomic variables on stock exchange trading volume. Unpublished Ph. D. Thesis, İstanbul Technical University, İstanbul.
  • Zaremba, A., Aharon, D. Y., Demir, E., Kizys, R., & Zawadka, D. (2021). Covid-19, government policy responses, and stock market liquidity around the world: a note. Research in International Business and Finance, 56, 101359. https://doi.org/10.1016/j.ribaf.2020.101359.
There are 73 citations in total.

Details

Primary Language English
Subjects Policy of Treasury, Monetary Policy, Financial Economy
Journal Section Articles
Authors

Tuncer Yılmaz 0000-0001-8956-5814

Alirıza Ağ 0000-0001-5345-6245

Publication Date June 27, 2025
Submission Date January 11, 2025
Acceptance Date May 14, 2025
Published in Issue Year 2025 Volume: 16 Issue: 31

Cite

APA Yılmaz, T., & Ağ, A. (2025). MACROECONOMIC INDICATORS AND LIQUIDITY: LONG AND SHORT RUN DYNAMIC EFFECTS ON THE TÜRKİYE STOCK EXCHANGE WITH THE ARDL APPROACH. Kafkas Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 16(31), 467-494. https://doi.org/10.36543/kauiibfd.2025.018

KAUJEASF is the corporate journal of Kafkas University, Faculty of Economics and Administrative Sciences Journal Publishing.

KAUJEASF has been included in Web of Science since 2022 and started to be indexed in the Emerging Sources Citation Index (ESCI ), a Clarivate product.

2025 June and December quota for the Business Administration has been completed. Submissions in the scope of Business Administration will not be evaluated until further notice. Manuscript acceptance and evaluation of other fields within the scope of our journal continues.