Arbeitspapier

Equity premium predictions with adaptive macro indexes

Fundamental economic conditions are crucial determinants of equity premia. However, commonly used predictors do not adequately capture the changing nature of economic conditions and hence have limited power in forecasting equity returns. To address the inadequacy, this paper constructs macro indexes from large data sets and adaptively chooses optimal indexes to predict stock returns. I find that adaptive macro indexes explain a substantial fraction of the short-term variation in future stock returns and have more forecasting power than both the historical average of stock returns and commonly used predictors. The forecasting power exhibits a strong cyclical pattern, implying the ability of adaptive macro indexes to capture time-varying economic conditions. This finding highlights the importance of using dynamically measured economic conditions to investigate empirical linkages between the equity premium and macroeconomic fundamentals.

Sprache
Englisch

Erschienen in
Series: Staff Report ; No. 475

Klassifikation
Wirtschaft
Financial Forecasting and Simulation
Financial Econometrics
Thema
Adaptive macro index
forecasting

Ereignis
Geistige Schöpfung
(wer)
Bai, Jennie
Ereignis
Veröffentlichung
(wer)
Federal Reserve Bank of New York
(wo)
New York, NY
(wann)
2010

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Bai, Jennie
  • Federal Reserve Bank of New York

Entstanden

  • 2010

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