Results 1 to 10 of about 7,979 (179)

Liquidity risk and liquidity timing in the cross-section of Indian equity mutual fund returns

Economics and Business Review
This study examines how aggregate market liquidity influences the cross-section of Indian equity mutual fund returns through two mechanisms: (1) funds’ long-run exposure to liquidity risk, and (2) managers’ time-varying liquidity timing.
Kumar Suresh, Ali Hyder
doaj   +1 more source

Trends, Shocks and Predictions in the Price Development of Food-Grade Wheat

Studia Universitatis Vasile Goldis Arad, Seria Stiinte Economice
Both farmers and end consumers are concerned with how wheat prices have evolved, the factors that have shaped them, and how they are likely to develop in the future, as this knowledge supports informed purchasing and selling decisions.
Horák Jakub, Kučera Jiří
doaj   +1 more source

Integrated Model of Demand for Telephone Services in Terms of Microeconometrics

Folia Oeconomica Stetinensia, 2016
The paper presents the results of the testing effectiveness of the integrated model in the short-term forecasting of demand for telephone services in 24-hour cycles.
Kaczmarczyk Paweł
doaj   +1 more source

Cluster analysis and artificial neural networks in predicting energy efficiency of public buildings as a cost-saving approach

Croatian Review of Economic, Business and Social Statistics, 2018
Although energy efficiency is a hot topic in the context of global climate change, in the European Union directives and in national energy policies, methodology for estimating energy efficiency still relies on standard techniques defined by experts in ...
Zekić-Sušac Marijana, Scitovski Rudolf, Has Adela   +2 more
doaj   +1 more source

Metcalfe's law and log-period power laws in the cryptocurrencies market

Economics: Journal Articles, 2019
In this paper the authors investigate the statistical properties of some cryptocurrencies by using three layers of analysis: alpha-stable distributions, Metcalfe’s law and the bubble behaviour through the LPPL modelling.
Pele Daniel Traian, Mazurencu-Marinescu-Pele Miruna   +1 more
doaj   +1 more source

A Supervised Machine Learning in Financial Forecasting: Identifying Effective Models for the BIST100 Index

Review of Economic Perspectives
The purpose of this study is to identify the most effective supervised machine learning models for predicting the financial performance of companies listed on the BIST100 index.
Ergenç Cansu, Aktaş Rafet
doaj   +1 more source

Sector-specific financial forecasting with machine learning algorithm and SHAP interaction values

Financial Internet Quarterly
This study examines the application of machine learning models to predict financial performance in various sectors, using data from 21 companies listed in the BIST100 index (2013-2023).
Ergenç Cansu, Aktaş Rafet
doaj   +1 more source

Modelling the implied volatility – A case of EUR/PLN currency options

International Journal of Management and Economics
Implied volatility, quoted by market makers for Over-the-Counter foreign exchange options, constructs a volatility surface that facilitates the pricing of all vanilla contracts.
Mielus Piotr
doaj   +1 more source

Housing Price Prediction - Machine Learning and Geostatistical Methods

Real Estate Management and Valuation
Machine learning algorithms are increasingly often used to predict real estate prices because they generate more accurate results than conventional statistical or geostatistical methods.
Cellmer Radosław, Kobylińska Katarzyna
doaj   +1 more source

The Impact of Brexit on Unemployment In The United Kingdom Using Synthetic Control Method

Studia Universitatis Vasile Goldis Arad, Seria Stiinte Economice
The withdrawal of the United Kingdom (UK) from the European Union (EU) (known as “Brexit”) represented a challenge for labor markets on both sides. Hence, the aim of our paper is to assess the impact of this event on the unemployment rate in the UK ...
Simionescu Mihaela, Strielkowski Wadim
doaj   +1 more source