Results 31 to 40 of about 74,665 (42)

Short-Term Stock Price Prediction Based on Single and Stacking Machine Learning Models

Global Conference on Business and Social Sciences Proceeding
As the investment environment improves, people are increasingly eager to purchase financial products with idle funds. Securities companies have become the preferred choice for buying financial products. The current accuracy of stock predictions relies on
Wenchuan Sun, Chia Yean Lim, Fengqi Guo, Sau Loong Ang   +3 more
semanticscholar   +1 more source

USING PREDICTIVE ANALYTICS FOR MANAGING SUPPLY AND DEMAND IN SMALL AND MEDIUM-SIZED ENTERPRISES

European Journal of Economic and Financial Research
The article discusses the use of predictive analytics to manage supply and demand in small and medium-sized enterprises. The methods of machine learning, time series analysis and regression modeling are being investigated, which make it possible to ...
Mikhail Stepanov
semanticscholar   +1 more source

Forecasting in the Presence of Instabilities: How Do We Know Whether Models Predict Well and How to Improve Them

Journal of Economic Literature, 2019
This article provides guidance on how to evaluate and improve the forecasting ability of models in the presence of instabilities, which are widespread in economic time series.
B. Rossi
semanticscholar   +1 more source

How Do Climatic Parameters Influence Tomato Price Forecasting in Punjab?

Agricultural Economics Research Review
Using monthly wholesale price data from January 2004 to September 2024 with climatic parameters, we built the autoregressive integrated moving average model and the seasonal autoregressive integrated moving average with exogenous variables (SARIMAX ...
Sunny Kumar, Kamal Vatta, Kashish Arora, Pradipkumar Adhale, P. Bhoi, Saurav Singla   +5 more
semanticscholar   +1 more source

Economic Growth and Electricity Consumption in India: An Econometric Analysis

The Indian Economic Journal, 2021
The purpose of this study is to analyse the long-run causal relationship among the per capita electricity consumption (PCEC) and per capita gross domestic product (PCGDP), urban population (UP) and employment (EMP) pattern in India over the period of ...
Ranjan Aneja, Megha Mathpal
semanticscholar   +1 more source

Financial Statement Fraud Prediction System: A Deep Learning-Based Approach

Journal of Forensic Accounting Research
Predicting financial statement fraud is a critical task for auditors and forensic accountants. Machine learning offers valuable support in this endeavor.
Yunsen Wang, Tiffany Chiu, Miklos A. Vasarhelyi   +2 more
semanticscholar   +1 more source

Export potential of millets from India: Current status and short-term forecast

Indian Journal of Economics and Development
This study examined the status and trends of millet exports from India and forecasts future exports based on monthly export data and the ARIMA-TDNN model.

semanticscholar   +1 more source

Predicting the Equity Premium with Combination Forecasts: A Reappraisal

Review of Asset Pricing Studies
This paper reappraises the usefulness of combining individual forecasts for predicting the U.S. equity premium. For comparison, we also consider penalized regression and dimension reduction approaches.
Sebastian Denk, Gunter Löffler
semanticscholar   +1 more source

МОБІЛЬНІСТЬ ЯК ПОСЛУГА (MAAS): ПЕРСПЕКТИВИ ВПРОВАДЖЕННЯ ТА ВИКЛИКИ В УКРАЇНІ

Проблеми і перспективи розвитку підприємництва
  УДК 330.3:656.13; JEL Classification: C53, D74, L83. Рахуба В.А. МОБІЛЬНІСТЬ ЯК ПОСЛУГА (MAAS): ПЕРСПЕКТИВИ ВПРОВАДЖЕННЯ ТА ВИКЛИКИ В УКРАЇНІ Мета. Метою роботи є дослідження сутності мобільності як послуги (MaaS) та розкриття перспектив та викликів ...
Вероніка Рахуба
semanticscholar   +1 more source

Uso de flujos de información de alta frecuencia para pronósticos de corto plazo de la actividad económica en Argentina

Ensayos Económicos
En este trabajo utilizamos un amplio conjunto de indicadores diarios y mensuales del ciclo económico para generar una predicción dentro del trimestre (Nowcast) del crecimiento del PIB real.
Emilio Blanco, L. D’Amato, Lorena Garegnani   +2 more
semanticscholar   +1 more source