TY - JOUR
T1 - Stock market and macroeconomic volatility comparison
T2 - An US approach
AU - Tokmakcioglu, Kaya
AU - Tas, Oktay
PY - 2014/1
Y1 - 2014/1
N2 - In 2007, as the US subprime mortgage market began to fall down, which reached its peak with the catastrophic collapse of the Lehman Brothers, no one was aware of that this was going to be the worst financial crisis since the Great Depression. Evaluating the advantages and disadvantages connected with financial globalization demands a pure understanding of the influence of financial volatility. Up to the present few researches focused on analyzing macroeconomic volatility of national economies. Therefore, the aim of the paper is to compare the forecast performance of stock market and macroeconomic volatility of US economy between 2007 and 2010. Accordingly, two different types of financial time series were generated, namely weekly stock returns and quarterly return on investment. Firstly, the appropriate model was determined via time series analysis. Secondly, the relevant ARCH-type model was implemented. Finally, conditional variance forecast performance of models was presented with respect to confidence interval. Furthermore, coefficient of correlation between squared residuals and coefficient of conditional variance was given.
AB - In 2007, as the US subprime mortgage market began to fall down, which reached its peak with the catastrophic collapse of the Lehman Brothers, no one was aware of that this was going to be the worst financial crisis since the Great Depression. Evaluating the advantages and disadvantages connected with financial globalization demands a pure understanding of the influence of financial volatility. Up to the present few researches focused on analyzing macroeconomic volatility of national economies. Therefore, the aim of the paper is to compare the forecast performance of stock market and macroeconomic volatility of US economy between 2007 and 2010. Accordingly, two different types of financial time series were generated, namely weekly stock returns and quarterly return on investment. Firstly, the appropriate model was determined via time series analysis. Secondly, the relevant ARCH-type model was implemented. Finally, conditional variance forecast performance of models was presented with respect to confidence interval. Furthermore, coefficient of correlation between squared residuals and coefficient of conditional variance was given.
KW - Forecast
KW - GARCH model
KW - International macroeconomic value
KW - Volatility
UR - http://www.scopus.com/inward/record.url?scp=84891634965&partnerID=8YFLogxK
U2 - 10.1007/s11135-012-9761-9
DO - 10.1007/s11135-012-9761-9
M3 - Article
AN - SCOPUS:84891634965
SN - 0033-5177
VL - 48
SP - 217
EP - 224
JO - Quality and Quantity
JF - Quality and Quantity
IS - 1
ER -