Real-Time Price Discovery in Global Stock, Bond and Foreign Exchange Markets

By Torben G. Andersen, Tim Bollerslev, Francis X. Diebold, Clara Vega. 2006

1,086 citations recorded by the source corpus.

Using a unique high-frequency futures dataset, we characterize the response of U.S., German and British stock, bond and foreign exchange markets to real-time U.S. macroeconomic news. We find that news produces conditional mean jumps; hence high-frequency stock, bond and exchange rate dynamics are linked to fundamentals. Equity markets, moreover, react differently to news depending on the stage of the business cycle, which explains the low correlation between stock and bond returns when averaged over the cycle. Hence our results qualify earlier work suggesting that bond markets react most strongly to macroeconomic news; in particular, when conditioning on the state of the economy, the equity and foreign exchange markets appear equally responsive. Finally, we also document important contemporaneous links across all markets and countries, even after controlling for the effects of macroeconomic news.

Subfields: Economics and Econometrics, Finance

View Paper: https://www.semanticscholar.org/paper/701ec4658bd50c33c102a02aec8a176a2d1bed69

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

  1. Tim Bollerslev
  2. George Tauchen
  3. V. Todorov
  4. Torben G. Andersen
  5. N. Shephard
  6. Morten Ørregaard Nielsen
  7. Clara Vega
  8. Jun Yu

In Finance

  1. V. Todorov
  2. Tim Bollerslev
  3. George Tauchen
  4. Torben G. Andersen
  5. N. Shephard
  6. Ole E. Barndorff-Nielsen
  7. Liuren Wu
  8. Morten Ørregaard Nielsen

Citations in the corpus