Results 31 to 40 of about 5,603 (270)

Identifying and Modeling Tehran Stock Market Calendar Effects: Using ARCH and GARCH Models [PDF]

open access: yesپژوهشهای اقتصادی, 2009
This paper examines the calendar anomalies in daily return of the Tehran stock market. ARCH and GARCH models are employed to capture the wide range of different calendar anomalies exist in the literature.
Reza Raei, Saeed Bajalan
doaj  

The Adaptive Dynamics of the Halloween Effect: Evidence from a 120-Year Sample from a Small European Market

open access: yesInternational Journal of Financial Studies, 2023
The Halloween effect predicts that stock markets in the winter months (November through April) generate significantly higher returns than in the summer months (May through October).
Júlio Lobão, Ana C. Costa
doaj   +1 more source

Calendar Anomalies in Pakistans Stock Market [PDF]

open access: yes, 2017
The aim of the study is to investigate the presence of calendar anomalies in the Karachi stock exchange of Pakistan. Anomalies are irregularities that cannot be defined by standard finance theories.
Qayum, Sobia   +3 more
core   +2 more sources

The Investigation of Seasonal Fluctuations Model in Tehran Stock Exchange [PDF]

open access: yesFaslnāmah-i Pizhūhish/Nāmah-i Iqtisādī, 2008
By studying the efficient market theory, the new financial management has confirmed the existence of calendar anomalies such as daily transaction effect, special monthly effect, holiday effect, etc as well as non calendar anomalies like initial public ...
Reza Raei, Saeed Shirzadi
doaj  

ANALISIS ANOMALI HOLIDAY EFFECTTERHADAPRETURNSAHAM SYARIAH DI JAKARTA ISLAMIC INDEX (JII) PERIODE 2012-2014

open access: yesAl-Intaj, 2015
A market anomaly techniques that seems contradictory development strategies Market with efficient process. The market efficiently process the anomaly should not occur . In financial theory, known at least four kinds of anomalies in the market. The fourth
deni dwi sandi
doaj   +1 more source

Evaluation of lithuanian stock market efficiency: seasonality and calendar anomalies. [PDF]

open access: yes, 2022
The main objective of this study is to determine whether seasonality and calendar anomalies exist in the Lithuanian stock market due to inefficiencies. The work consists of three main parts.
Linauskaitė, Ditė,
core  

Calendar Anomalies : Nordic Evidence [PDF]

open access: yes, 2023
This research is constructed in order to further analyze calendar anomalies in the Nordic stock markets. Calendar anomalies are price movements that appear during particular times of the year. Since Fama (1965) introduced the efficient market hypothesis,
Keski-Kastari, Tommi
core  

Day of the week effect and Baltic stock exchanges

open access: yesPrzedsiębiorczość Międzynarodowa, 2018
Objective: There is an ongoing debate in the field of finance and economics on the existence of abnormal equity returns associated with calendar events.
Arvydas Jadevicius
doaj   +2 more sources

Nonwoven‐Based Textile Architectures for Energy Storage Applications: Materials, Preparation, Characterization, and Prospects

open access: yesAdvanced Materials Interfaces, EarlyView.
Nonwoven textile architectures are emerging as versatile platforms for next‐generation energy storage, demonstrating how tailored materials and fabrication strategies enhance ion transport, conductivity, flexibility, and scalability for high‐performance sustainable devices.
Tarikul Islam   +6 more
wiley   +1 more source

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

open access: yesAdvanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais   +32 more
wiley   +1 more source

Home - About - Disclaimer - Privacy