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A Literature Review Of Stock-Bond Correlation

Table 2:

Author(s)/Year Country(s) involved/ Period of Studies Methodology/Tools for analysis Variables Studied
Andersson, Krylova, and Vähämaa ( 2008) Germany, UK and US (1991 – 2006) DCC-MGARCH, time series regression Expected economic growth, expected inflation and stock market volatility expectation
Asgharian, Christiansen, and Hou (2015) US (1986 – 2014) DCC–MIDAS Macroeconomic uncertainty index (MUI)
Asgharian, Christiansen, and Hou ( 2015b) US (1986 – 2013) Wavelet approach, DCC-MIDAS Inflation, term spread, interest rate, stock and bond illiquidity, the state of economy variables, market uncertainty
Baele, Bekaert, and Inghelbrecht ( 2010) US (1968 – 2007) VAR, regime-switching, mixed data sampling (MIDAS) Macro factors, risk-premium factors, liquidity factors
Bansal, Connolly, and Stivers ( 2009) US (1997 – 2005) Regime-switching Daily VIX variability, implied volatility level from VIX, price-impact measure and return reversal measure of stock illiquidity and trading volume in stock futures contracts.
Baur ( 2010) Australia, France, Germany, Italy, Japan, Switzerland UK and US (1989 – 2009) Simple regression, temporal commonalities Cross-country (same asset class) stock and bond market integration
Bianconi, Yoshino, and Machado de Sousa ( 2013) Brazil, Russia, India, China (2003 – 2010) VAR, heat maps, cointegration, DCC-MGARCH US financial stress
Chiang and Li ( 2009) US (1996 – 2008) Rolling correlation, BEKK-MGARCH, AGDCC-MGARCH, multiple regression Stock market volatility, oil price volatility, credit spread, real GDP growth rate, capital inflow to US, domestic savings, inflation, federal funds rate, M2 own rate.
Connolly, Stivers, and Sun ( 2005) US and other G7 countries (1986 – 2000) VAR, regime -shifting analysis Stock market uncertainty (VIX) and stock turnover
Dimic, Kiviaho, Piljak, and Äijö ( 2016) Argentina, Brazil, Bulgaria, Colombia, Mexico, Peru, Philippines, Russia, Turkey, Venezuela and US (2001 – 2013) Wavelet analysis approach, linear regression Inflation, business cycle, interest rate, stock and bond market uncertainties (VIX and MOVE, respectively)
Hong, Kim, and Lee ( 2014) Canada, Germany, Japan, UK and US (1985 – 2007) Bivariate VAR, Cointegration Ratio of market value to GDP, real GDP growth rate, spread between stock and bond returns, economic uncertainty
Ilmanen ( 2003) US (1952 – 2001) Rolling correlations GDP growth, inflation, market volatility, monetary policy
Kim, Moshirian, and Wu ( 2006) France, Germany, Italy, Japan, Spain, UK and US (1994 – 2003) EGARCH, Principal component analysis (PCA), Seemingly Unrelated Regression (SUR) Conditional exchange rate volatility, monetary and real convergence, January dummy variable and economic uncertainty
Li ( 2002) G7 countries (1958 – 2001) Linear regression, autocorrelation model, VAR Uncertainties of expected inflation, real interest rate and unexpected inflation
Panchenko and Wu ( 2009) 18 emerging markets (1995 – 2005) Logistic panel regression Stock market integration, country-specific variables, international variables, market-development variables, financial openness variables
Perego and Vermeulen ( 2016) Austria, Belgium, Finland, France, Germany, Greece, Ireland, Italy, Netherland, Portugal, Spain (2000 – 2013) DCC-MIDAS Inflation differential, volatility differential, debt differential, current account differential, growth differential and monetary policy rate
Yang, Zhou, and Wang ( 2009) UK and US (1855 – 2001) CCC augmented model MGARCH Short rates, inflation rate, business cycle, dummy variables on 1) monetary regimes: classical gold standard, interwar, Bretton woods, floating exchange rates; 2) events in financial markets: 1951 Treasury-Federal Reserve Accord event, central bank controls over money supply, US issued fiat paper money.
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