Evidence map›Paper›PMID 32803595›Full record

ArticleEnvironmental science and pollution research international2020

Evolving time-varying market efficiency of energy stock market.

Negar Fazlollahi, Nesrin Ozatac, Korhan K Gokmenoglu

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Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Negar FazlollahiDepartment of Banking and Finance, Faculty of Business and Economics, Eastern Mediterranean University, Famagusta, North Cyprus via Mersin 10, Turkey. negarfazlollahi@icloud.com.
Nesrin OzatacDepartment of Banking and Finance, Faculty of Business and Economics, Eastern Mediterranean University, Famagusta, North Cyprus via Mersin 10, Turkey.
Korhan K GokmenogluDepartment of Banking and Finance, Faculty of Business and Economics, Eastern Mediterranean University, Famagusta, North Cyprus via Mersin 10, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Energy stocks have become an essential segment of the investment portfolios of both households and institutional investors. This study investigates the dynamic aspect of evolving weak-form efficiency in six energy stock markets: those of the United States (US), Canada, China, Australia, India, and Saudi Arabia. The generalized autoregressive conditionally heteroskedastic in the mean GARCH-M(1,1) method is applied, alongside the state-space time-varying approaches with the Kalman filter estimation, to detect the evolving efficiency for periods ending in November 2019. The empirical results reveal that the studied markets undergo various extents of time-varying efficiency, containing periods of efficiency enhancement as well as periods of deviation from efficiency. Meanwhile, the 2007-2009 global financial crisis and the 2015 changes in the energy sector-in addition to other contemporaneous crises-have a profound influence on the timeline of market efficiency evolution. Overall, all of the markets gradually became more efficient, apart from India's energy market as a result of the current energy crisis in India. Amid the energy markets explored in this study, the US energy market was found to be the most efficient.

Indexed as

EnvironmentFinancial ManagementInvestmentsModels, EconomicAustraliaCanadaChinaFinancing, GovernmentHumansIndiaSaudi ArabiaUnited StatesEnergy stock marketGARCH-MKalman filterTime-varying efficiency

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.