Assessing Thailand’s financial vulnerability: An early warning approach
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This paper intends to assess financial vulnerability in Thailand through the construction of a financial vulnerability indicator (FVI). This early warning system has been developed using the signals approach proposed by Kaminsky and Reinhart (1999), followed by composite indicator construction. The period under study spans from January 2000 through to December 2016. Our empirical findings indicate that exports has the lowest noise-to-signal ratio (0.13), followed by real GDP (0.15) and house price index (0.20). These suggest that financial crises are usually preceded by a weakening in exports, a slowdown in the economy and a decline in house price. For Thailand, four major financial episodes are successfully outlined during the study period, demonstrating the effectiveness of an early warning system in financial vulnerability forecasting.
- Abu Mansor, S., Puah, C. H., Liew, V. K., & Wong, S. S. (2015). An early warning indicator of economic vulnerability constructing for Malaysian economy. Economic Annals-XXI, 3-4(1), 37-41.
- Bank of Thailand. (2016). Financial Stability Report 2016. Bangkok: Bank of Thailand.
- Bruggemann, A., & Linne, T. (2002). Are the central and Eastern European transition countries still vulnerable to a financial crisis? Results from the signals approach. IWH Discussion Papers, No. 157. https://doi.org/10.2139/ssrn.1015699
- Chow, G. C., & Lin, A. (1971). Best linear unbiased interpolation, distribution, and extrapolation of time series by related series. The Review of Economics and Statistics, 53(4), 372-375. https://doi.org/10.2307/1928739
- Christensen, I., & Li, F. (2014). Predicting financial stress events: a signal extraction approach. Bank of Canada Working Paper, No. 37. https://doi.org/10.1016/j.jfs.2014.08.005
- Drehmann, M., & Juselius, M. (2014). Improving EWIs for banking crises - satisfying policy requirements. International Journal of Forecasting, 30(3), 759-780. https://doi.org/10.1016/j.ijforecast.2013.10.002
- Duca, M. L., & Peltonen, T. A. (2011). Macro-financial vulnerabilities and future financial stress. European Central Bank Working Paper, No. 1311.
- Edison, H. J. (2003). Do indicators of financial crises work? An evaluation of an early warning system. International Journal of Finance and Economics, 8, 11-53. https://doi.org/10.1002/ijfe.197
- Feldkircher, M., Gruber, T., & Moder, I. (2014). Using a threshold approach to flag vulnerabilities in CESEE economies. National Bank of Austria, Foreign Research Division, 3, 8-30.
- Frankel, J. A., & Saravelos, G. (2012). Can leading indicators assess country vulnerability? Evidence from the 2008-09 global financial crisis. Journal of International Economics, 87, 216-231. https://doi.org/10.1016/j.jinteco.2011.12.009
- Gandolfo, G. (1981). Qualitative analysis and econometric estimation of continuous time dynamic models. Amsterdam: North Holland-Publishing Company.
- Hsing, H. M. (2004). Leading indicators of Asian currency crisis - the weighted signal approach. Asia Pacific Managament Review, 9(1), 119-136.
- Illing, M., & Liu, Y. (2006). Measuring financial stress in a developed country: an application to Canada. Journal of Financial Stability, 2, 243-265. https://doi.org/10.1016/j.jfs.2006.06.002
- International Monetary Fund. (2012). Dealing with household debt. Washington D.C.: International Monetary Fund.
- International Monetary Fund. (2016). Thailand Selected Issues. Washington D.C.: International Monetary Fund.
- Kaminsky, G. L., & Reinhart, C. M. (1999). The twin crises: the causes of banking and balance-of-payments problems. The American Economic Review, 89(3), 473-500. https://doi.org/10.1257/aer.89.3.473
- Kaminsky, G. L., Lizondo, S., & Reinhart, C. M. (1998). Leading indicators of currency crisis. IMF Staff Papers No. 45, 1-48. https://doi.org/10.2307/3867328
- Karmarkar, Y., & Vani, S. (2014). Early warning signal system for economic crisis: a threshold and indicators approach. Pacific Business Review International, 6(8), 60-70.
- Megersa, K., & Cassimon, D. (2015). Assessing indicators of currency crisis in Ethiopia: signals approach. African Development Review, 27(3), 413-430. https://doi.org/10.1111/1467-8268.12148
- Nguyen, T., & Duy, N. N. (2017). Developing an early warning system for financial crises in Vietnam. Asian Economic and Financial Review, 27(3), 413-430. mhttps://doi.org/10.18488/journal.aefr/2017.7.4/102.4.413.430
- Pasricha, G., Roberts, T., Christensen, I., & Howell, B. (2013). Assessing financial system vulnerabilities: an early warning approach. Bank of Canada Review, 10-19.
- Puah, C. H., Kuek, T. H., Arip, M. A., & Wong, S. S. (2016). Forecasting Property Market Dynamics: Insights from the Property Cycle Indicator. INFORMATION, 19(6(B)), 2225-2232.
- Siedlecki, R., & Papla, D. (2013). Forecasting economic crises using gradient measurement of development and log-logistic function. Business and Economic Horizons, 9(3), 28-40. https://doi.org/10.15208/beh.2013.11
- Vesna, B. (2011). An analysis of financial crisis by an early warning system model: the case of the EU candidate countries. Business and Economic Horizons, 4(1), 13-26.
- Wong, S. S., Puah, C. H., Abu Mansor, S., & Liew, V. K. (2016). Measuring business cycle fluctuations: An alternative precursor to economic crises. Economic Computation and Economic Cybernetics Studies and Research, 50(4), 235-248
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