Investment - Articles - Bank of England report on estimating equity returns


Working Paper No. 520 by Michael Chin and Christopher Polk

 Recent studies find evidence in favour of return predictability, and argue that their positive findings result from their ability to capture expected returns. We assess the forecasting performance of two popular approaches to estimating expected equity returns, a dividend discount model (DDM) commonly used to estimate 'implied cost of capital', and a vector autoregression (VAR) model commonly used to decompose equity returns. In line with recent evidence, in-sample tests show that both estimates generate substantially lower forecast errors compared to traditional predictor variables such as price-earnings ratios and dividend yields. Out-of-sample, the VAR and DDM estimates generate economically and statistically significant forecast improvements relative to a historical average benchmark. Our results tentatively suggest that the VAR approach better captures expected returns compared to the DDM.
  
 To view the full paper please click on the link below:
 A forecast evaluation of expected equity return measures

Back to Index


Similar News to this Story

Investors fret at UK governments weakening fiscal position
Sterling falls sharply after UK Chancellor appeared visibly distressed in parliament. Government borrowing costs jump, but then retrace some moves fol
Fiduciary management state of play report
Quantum Advisory have published the latest results from its quarterly Fiduciary Management (FM) Dashboard.
One year of Labour and market outlook sours as growth stalls
Comment from Lindsay James, investment strategist at Quilter on the first year of the Labour government: “One year into Labour’s time in office, marke

Site Search

Exact   Any  

Latest Actuarial Jobs

Actuarial Login

Email
Password
 Jobseeker    Client
Reminder Logon

APA Sponsors

Actuarial Jobs & News Feeds

Jobs RSS News RSS

WikiActuary

Be the first to contribute to our definitive actuarial reference forum. Built by actuaries for actuaries.