MGPraxis42,984 papers mapped

Stock market efficiency in South Eastern Europe: testing return predictability and presence of calendar effects

2017

“We apply standard regression models with dummy variables for the effects in the mean returns, while we apply GARCH(1,1) models with dummy variables for the effects in the volatility of returns.”

AssetEquitiesindices
StrategySeasonalitymachine learning
TechniqueClassical time series
GeographyEurope

Also stated: Daily, 2007–2014

Missing from abstract: benchmark, out-of-sample test, costs, multiple testing, universe

Institutional-grade audit of this strategy.
£5 — Request the audit
  • Audit of the paper claims accounting for costs, luck, crises, originality, geography, etc.
  • Reproduction code integratable into Bloomberg, IBKR, etc.
  • Bias-free datasets for backtesting included
  • Delivered in 2 working days
The paper's neighbourhoodSeasonality and calendar effects by year
■ equities■ volatility and options2000200522010220151This paper2017202022026■ equities■ volatility and options200020052201021This paper2017202022026
The family is counted across the whole universe. Asset, method and authors are counted inside the family.
Similar paperscitationsame methodsame assetsame authors
Session Effect in Istanbul Stock Exchange by Dicle and Hassan2006
Finance by Verhofen2014
Calendar Effects of Asset Pricing Factors by Fan et al.2026
Sectoral Intramonth Momentum Cycle Exploiting Turn-of-the-Month Patterns in Sector ETF Strategies by Vojtko and Dujava2026
Exploiting Superstition in the Investment Strategies: Case of Friday the 13th Effect by Ştefanescu and Dumitriu2018
Not yet audited by MarketGraphs Praxis. Tags from the abstract. Counts from the universe.
RSS · Contacts