Predictive systems

Predictive systems

by Lubos Pastor

Book 12814 of NBER working paper series -- working paper

Browse books you can read free on Readfeed

No club is reading this yet — be the first to start one

Start a club free
About
"The standard regression approach to modeling return predictability seems too restrictive in one way but too lax in another. A predictive regression models expected returns as an exact linear function of a given set of predictors but does not exploit the likely economic property that innovations in expected returns are negatively correlated with unexpected returns. We develop an alternative framework - a predictive system - that accommodates imperfect predictors and beliefs about that negative correlation. In this framework, the predictive ability of imperfect predictors is supplemented by information in lagged returns as well as lags of the predictors. Compared to predictive regressions, predictive systems deliver different and substantially more precise estimates of expected returns as well as different assessments of a given predictor's usefulness"--National Bureau of Economic Research web site.

Discuss Predictive systems with other readers

Join or start a book club for Predictive systems on Readfeed. Live chat, shared reading progress, and AI discussion questions — free to get started.

Frequently asked questions

How do I join a book club for Predictive systems?

Sign up free on Readfeed, then browse public clubs or start your own club with Predictive systems as the current read. Invite friends with a share link and discuss together with live chat and AI discussion questions.

Can I discuss Predictive systems with other readers online?

Yes. Readfeed book clubs let you chat live, share progress, and join discussions about Predictive systems with readers worldwide — whether your club is virtual, in-person, or hybrid.

Is Readfeed free?

Yes. Creating an account and joining book clubs is free. Sign up to find readers who love the same books and start discussing today.