[PDF][PDF] The effect of kernel values in support vector machine to forecasting performance of financial time series

A Altan, S Karasu - The Journal of Cognitive Systems, 2019 - dergipark.org.tr
Nowadays, one of the most important research topics in economic sciences is the estimation
of different financial exchange rates. The reliable and accurate forecasting of the exchange …

[HTML][HTML] Forecasting the Turkish Lira Exchange Rates through Univariate Techniques: Can the Simple Models Outperform the Sophisticated Ones?

MR Sarkandiz, S Ghayekhloo - Финансы: теория и практика, 2024 - cyberleninka.ru
The Central Bank of Turkey's policy to decrease the nominal interest rate has caused
episodes of severe fluctuations in Turkish lira exchange rates during 2022. According to …

[HTML][HTML] Эволюция влияния COVID‑19 на фондовый рынок России: эффект паники

ЮВ Егорова, АН Непп, ИИ Тищенко - Финансы: теория и …, 2024 - cyberleninka.ru
Исследования, связывающие движения фондовых рынков с вниманием и
настроениями инвесторов, стали довольно обширными за последние несколько лет, и …

Development of Comparative Forecasting Models of Daily Prices of Aggressive Pension Mutual Funds by Univariate Time Series Methods

S Eşsiz, M Ordu - Turkish Journal of Forecasting, 2024 - dergipark.org.tr
The primary goal of the individual pension system is to enhance retirees' living standards by
generating supplementary income through the investment of their savings during retirement …

[PDF][PDF] Predicting exchange rate by using time series multilayer perceptron

F Mansour, MC Yüksel, MF Akay - … Mediterranean Science and …, 2019 - researchgate.net
Exchange rate among different currencies in a certain time period is one of the fundamentals
in the economics of a country. Being able to predict exchange rate flow accurately can be …

[PDF][PDF] Forecasting Inflation Rates in Ghana using Regression, Artificial Neural Networks and Support Vector Machines

G Asamoah, J Ofori… - Journal of …, 2021 - jotemacs.tremmbitconsult.com
Purpose/Objective The main objective of this study was to predict inflation rates in Ghana
using standard econometric methods such as linear multivariate OLS regression, and the …

Прогнозирование курсов турецкой лиры с помощью одномерных методов: могут ли простые модели превзойти сложные?

МР Саркандиз, С Гаехлу - … : теория и практика/Finance: Theory and …, 2024 - financetp.fa.ru
Аннотация На протяжении 2022 г. политика центрального банка Турции по снижению
номинальной процентной ставки вызывала эпизоды сильных колебаний курса …

[PDF][PDF] Hybrid Approach of Wavelet Transform and ANN for Stock Market Prediction

P Garg, N Sahu - 2021 - academia.edu
Time series data analysis is today's financial need which is to be predicted with highest
accuracy. A stock market data with some input variables like open, low, high and close price …

Financial Time Series Data Forecasting for Event Handling.

PK Tripathy, S Kumar - Grenze International Journal of …, 2022 - search.ebscohost.com
The volatile nature of the financial market makes it difficult to develop a reliable forecasting
system for financial time series data, but it becomes unreliable when the financial market …

[PDF][PDF] Survey on Economic Indicators Prediction using Artificial Intelligence Techniques

A Nabil, KM Metwally, O Saker, EH IM - 2020 - ieeesem.com
Popular macroeconomic indicators, especially Gross Domestic Product (GDP), inflation rate,
currency exchange rate, and interest rate, are currently used in describing countries' …