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This dissertation consists of three essays, which study the relation between stock prices and the macroeconomy using vector autoregressions (VARs). The first essay focuses on the link between stock prices and the current account. I find that stock markets provide a channel, in addition to the traditional exchange rate channel, through which external balance for a country with a current account imbalance can be restored. The second essay explores the transmission of U.S. stock price shocks to real activity and prices in G-7 countries. I achieve identification by imposing a small number of sign restrictions on impulse responses, while controlling for monetary policy, business cycle and government spending shocks. The results suggest that stock price movements are important for fluctuations in G-7 real activity and prices, but do not qualify as demand side business cycle shocks. The third essay investigates the impact of monetary and technology shocks on the stock market. I find an important role for technology shocks, but not monetary shocks, in explaining variations in real stock prices. The identification method is flexible enough to study the effects of technology news shocks. The responses are consistent with the idea that news on technology improvements have an immediate impact on stock prices.
This paper explores the relationship between equity prices and the current account for 17 industrialized countries in the period 1980-2007. Based on a panel vector autoregression, I compare the effects of equity price shocks to those originating from monetary policy and exchange rates. While monetary policy shocks have a limited impact, shocks to equity prices have sizeable effects. The results suggest that equity prices impact on the current account through their effects on real activity and exchange rates. Furthermore, shocks to exchange rates play a key role as well. Keywords: current account fluctuations, equity prices, panel vector autoregression