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Does the Adaptive Market Hypothesis explain the evolution of emerging markets efficiency? Evidence from the Moroccan financial market [PDF]

open access: yesHeliyon, 2020
This paper scrutinizes different aspects of the Adaptive Market Hypothesis (AMH) in the Moroccan financial market over the period from January 1992 to September 2019 through different approaches.
Mostafa Lekhal, Ahmed El Oubani
doaj   +5 more sources

Adaptive market hypothesis: An empirical analysis of time –varying market efficiency of cryptocurrencies

open access: yesCogent Economics & Finance, 2020
This study examines the adaptive market hypothesis (AMH) in relation to time-varying market efficiency by using three tests, namely Generalized Spectral (GS), Dominguez-Lobato (DL) and the automatic portmanteau test (AP) test on four-digital currencies ...
Ambreen Khursheed   +3 more
doaj   +4 more sources

Adaptive market hypothesis and momentum effect: Evidence from Dhaka Stock Exchange

open access: yesCogent Economics & Finance, 2019
This paper examines time-varying behavior of momentum and contrarian profits to identify the existence of adaptive market hypothesis (AMH), and whether AMH can provide justification for the presence of such anomalous behavior in the Dhaka Stock Exchange (
Tahmina Akhter, Othman Yong
doaj   +5 more sources

The adaptive market hypothesis and high frequency trading. [PDF]

open access: yesPLoS ONE, 2021
This paper uses NASDAQ order book data for the S&P 500 exchange traded fund (SPY) to examine the relationship between one-minute, informational market efficiency and high frequency trading (HFT).
Ke Meng, Shouhao Li
doaj   +3 more sources

Adaptive market hypothesis: insights from BRIC-T countries’ stock markets

open access: yesFinancial Internet Quarterly
Comparing the Efficient Market Hypothesis and Behavioral Finance, the Adaptive Markets Hypothesis (AMH), which identifies the extremes of these two hypotheses and adapts them to each other, argues that calendar anomalies can coexist, but also focuses on ...
Ozekenci Sureyya Yilmaz
doaj   +4 more sources

Adaptability factors and behavioral biases of investors in frontier markets: An adaptive market hypothesis perspective. [PDF]

open access: yesPLoS ONE
The Adaptive Market Hypothesis (AMH) suggests that investors are imperfect but adaptive, allowing behavioral biases to persist and evolve over time.
Jannatunnesa Jannatunnesa   +2 more
doaj   +3 more sources

Vacillating Behavior of TOM Effect and Adaptive Market Hypothesis: A Firm Level Evidence from Emerging Stock Market of Pakistan

open access: yesJournal of Business and Social Review in Emerging Economies, 2020
Through the current study we amplify the available literature on AMH (Adaptive Market Hypothesis) and calendar anomalies because this is the first study of its nature which links TOM effect with AMH which allows the behavior of conventional TOM-effect to
Muhammad Naeem Shahid   +2 more
doaj   +4 more sources

Cryptocurrencies, gold, and WTI crude oil market efficiency: a dynamic analysis based on the adaptive market hypothesis

open access: yesFinancial Innovation, 2021
This study examined the evolving oil market efficiency by applying daily historical data to the three benchmark cryptocurrencies (Bitcoin, Ethereum, and Ripple), gold, and West Texas Intermediate (WTI) crude oil.
Majid Mirzaee Ghazani   +1 more
doaj   +3 more sources

The adaptive market hypothesis in the high frequency cryptocurrency market

open access: yesInternational Review of Financial Analysis, 2019
This paper investigates the adaptive market hypothesis (AMH) with respect to the high frequency markets of the two largest cryptocurrencies — Bitcoin and Ethereum, versus the Euro and US Dollar.
Stephen Chan
exaly   +3 more sources

Behavior of calendar anomalies and the adaptive market hypothesis: evidence from the Baltic stock markets

open access: yesJournal of Baltic Studies, 2022
This research tests the Adaptive Market Hypothesis (AMH) regarding calendar anomalies in the Baltic stock markets. Analysis of known calendar anomalies over time is carried out by using sub-sample GARCH (1,1) regression with Kruskal–Wallis statistics and
Vilija Alekneviciene
exaly   +3 more sources

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