Evidence of Fear in Fixed Income and Bourses: A Study on Certain G-7 Economies
Keywords:Volatility Index, Fixed Income, G-7 Economies, Panel Data Regression, Fear Index
The paper aimed to predict the Fear index for certain G7 countries (Canada, France, Germany and Japan) considering the two variables Stock Price (Close) and Bond Yield(LBY). Daily data were analyzed for the period from April 2013 to June 2017. The main purpose was to identify the degree in which fear affecting the stock market percolates to Fixed Income Instruments. Using Panel Data Regression (Fixed Effect Model) the two variables were able to predict the VIX index and the model was found to be robust in nature. The major finding is that Fixed Income and stocks share a negative relationship with VIX (Fear Index).
Ang, A., Hodrick, R. J., Xing, Y., & Zhang, X. (2006). The cross-section of volatility and expected returns. Journal of Finance, 61(1), 259–299. https://doi.org/10.1111/j.1540-6261.2006.00836.x
Arak, M., & Naranchimeg, M. (2006). The VIX and VXN volatility measures: Fear gauges or forecasts? Derivatives Use, Trading & Regulation, 12(1/2), 14–27. https://doi.org/ 10.1057/ palgrave. dutr.1840040
Badshah, I. U. (2018). Volatility spillover from the fear index to developed and emerging markets. Emerging Markets Finance and Trade, 54(1), 27–40. https://doi.org/10.1080/1540496X.2016.1220294
Baele, L., Bekaert, G., & Inghelbrecht, K. (2010). The determinants of stock and bond return comovements. Review of Financial Studies, 23(6), 2374–2428. https://doi.org/10.1093/rfs/hhq014
Chiang, T. C., Li, J., & Yang, S. Y. (2015). Dynamic stock–bond return correlations and financial market uncertainty. Review of Quantitative Finance and Accounting, 45(1), 59–88. https://doi.org/10.1007/s11156-013-0430-4
Chow, V., Jiang, W., & Li, J. (Victoria). (2014). Does VIX Truly Measure Return Volatility? SSRN, 1–35. https://doi.org/10.2139/ssrn.2489345
d‟Addona, S., & Kind, A. H. (2006). International stock-bond correlations in a simple affine asset pricing model. Journal of Banking and Finance, 30(10), 2747–2765. https://doi.org/10.1016/j.jbankfin.2005.10.007
Dimic, N., Kiviaho, J., Piljak, V., & Äijö, J. (2014). Impact of Financial Market Uncertainty and Macroeconomic Factors on Stock-Bond Correlation in Emerging Markets. Department of Accounting and Finance University of Vaasa.
G. Russon, M., & F. Vakil, A. (2017). On the non-linear relationship between VIX and realized SP500 volatility. Investment Management and Financial Innovations, 14(2), 200–206. https://doi.org/ 10.21511/ imfi.14(2-1).2017.05
Ghosh, B. (2017). FRA-CDS-VDAX based credit crash model: A German conundrum. International Journal of Economic Research, 14(8), 221–228.
Ghosh, B. (2017). Quest for Behavioural Traces the Neural Way: A Study on BSE 100 along with its Oscillators. Indian Journal of Research in Capital Markets, 4(1), 19–25.
Ghosh, B., Le Roux, C., & Ianole, R. (2017). Fear estimation-evidence from BRICS and UK. International Journal of Applied Business and Economic Research, 15(4), 195–207.
Giot, P. (2003). Implied Volatility Indices as Leading Indicators of Stock Index Returns? SSRN, 50(2002). https://doi.org/10.2139/ssrn.371461
Harumi, O. (2015). Trends in Stock-Bond Correlations. RIETI Discussion Paper Series 15-E-115 Trends in Stock-Bond Correlations.
Jennifer s Lerner, D., & Keltner. (2001). Fear anger worry. Journal of Personality and Social Psychology, 81 Number, 146–159.
Kim, S., & In, F. (2007). On the relationship between changes in stock prices and bond yields in the G7 countries: Wavelet analysis. Journal of International Financial Markets, Institutions and Money, 17(2), 167–179. https://doi.org/10.1016/j.intfin.2005.10.004
Kozyra, J., & Lento, C. (2011). Using vix data to enhance technical trading signals. Applied Economics Letters, 18(14), 1367–1370. https:// doi.org/ 10.1080/13504851.2010.537623
Lee, C. J., & Andrade, E. B. (2011). Fear, social projection, and financial decision making. Journal of Marketing Research, 48(SPL), S121–S129. https://doi.org/10.1509/jmkr.48.SPL.S121
Lei, V. U. T., So, S. M. S., & Zou, M. (2012). Investor Sentiment - relationship between vix and trading volume. SSRN, 5(4), 114–121. https://doi.org/10.2139/ssrn.2136802
Rankin, E., & Shah Idil, M. (2014). A century of stock-bond correlations. Bulletin of the Reserve Bank of Australia, September, 67–74.
Eraslan, S., & Ali, F. (2017). Financial crises and the dynamic linkages between stock and bond returns. Bundesbank Discussion Paper No 17/2017. Deutsche Bundesbank.
Skintzi, V. D. (2019). Determinants of stock-bond market comovement in the Eurozoneunder model unceruncertainty. International Review of Financial Analysis, 61, 20-28.
Stivers, C. T., & Sun, L. (2002). Stock market uncertainty and the relation between stock and bond returns. Working Paper, (March).
Thielen, B. (2016). Volatility and stock market returns. Tilburg University Faculty of Economics and Business Administration Department of Financ, 38.
Bollerslev, T. & Todorov, V. (2011). Tails, fears, and risk premia. The Journal of Finance, 66(6), 2165-2211.
Tsai, I. C. (2014). Spillover of fear: Evidence from the stock markets of five developed countries. International Review of Financial Analysis, 33, 281–288. https://doi.org/10.1016/j.irfa.2014.03.007
Vodenska, I., & Chambers, W. J. (2013). Understanding the Relationship between VIX and the S&P 500 Index Volatility. SSRN, (i). https://doi.org/10.2139/ssrn.2311964
Vychytilova, J. (2015). Linkages among U.S. Treasury Bond Yields, commodity futures and stock market implied volatility: New Nonparametric Evidence. Journal of Competitiveness, 7(3), 143–158. https://doi.org/10.7441/joc.2015.03.10
Whaley, R. E. (2008). Understanding VIX. SSRN, (615), 13. https:// doi.org/ 10.2139/ssrn.1296743
Winberg, A., & Rugas, N. (2015). A study on the relation between VIX, S&P500 and the CDX-index. University of Gothenberg School of Business,economics and Lows.