e-ISSN: Pending
Negative / Null Result Report· cited by 1

Does sophisticated DCF outperform heuristics driven PE? Evidence from India

SAMIE AHMED SAYED · 2016 · Journal of Advances in Management Research

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

Abstract (excerpt)

Purpose PE and DCF are two popular valuation methodologies used by analysts to derive target price forecasts while performing equity research. Recent studies in developed markets show that analysts using sophisticated models like DCF…

Excerpt shown for reference under fair use — read the full paper at the publisher.

Read full paper at publisher

Hosted by the publisher — may require access.

About to run something similar?

Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.

WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: Crossref · DOI 10.1108/jamr-05-2015-0034