A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
LSTM Networks accurately forecast COVID-19 cases in Turkey with lower error than other methods.
Nowcasts consumption and investment from Turkish bank transactions for real-time GDP.
Study forecasts Turkish residential NGD using JITL-GPR, reducing errors.
This paper discusses e-commerce integration with SAP for Turkish businesses.
Study finds mixed evidence of monthly stock market anomalies in Turkey and US.
The multifractal detrended fluctuation analysis technique is employed to analyze the time series of gold consumer price index (CPI) and the market trend of three world's highest gold consuming countries, namely China, India and Turkey for the period: 1993-July 2013. Various multifractal variables, such as the generaliz…
Labor productivity in Turkey, Spain, Belgium, Austria, Switzerland, and New Zealand has been analyzed and modeled. These counties extend the previously analyzed set of the US, UK, Japan, France, Italy, and Canada. Modelling is based on the link between the rate of labor participation and real GDP per capita. New result…
The accuracy of the household electricity consumption forecast is vital in taking better cost effective and energy efficient decisions. In order to design accurate, proper and efficient forecasting model, characteristics of the series have to been analyzed. The source of time series data comes from Online Enerjisa Syst…
Model forecasts natural gas consumption with Fourier series and feedback.
It is very vital for suppliers and distributors to predict the deregulated electricity prices for creating their bidding strategies in the competitive market area. Pre requirement of succeeding in this field, accurate and suitable electricity tariff price forecasting tools are needed. In the presence of effective forec…
As known, attribute selection is a method that is used before the classification of data mining. In this study, a new data set has been created by using attributes expressing overall satisfaction in Turkey Statistical Institute (TSI) Life Satisfaction Survey dataset. Attributes are sorted by Ranking search method using…
Study finds no evidence dual-class stocks are effective predictors.
Study examines USD exchange rate dynamics using Kramers-Moyal expansion.
This paper studies the problems of vehicle make & model classification. Some of the main challenges are reaching high classification accuracy and reducing the annotation time of the images. To address these problems, we have created a fine-grained database using online vehicle marketplaces of Turkey. A pipeline is prop…
Simple models outperformed sophisticated ones in forecasting Turkish lira exchange rates.
The paper proposes a demand prediction model for e-commerce sites using machine learning and stacking.
Study uses DNN to accurately estimate daily ET o in various climates.
A new risk measure (FRM) for EM FI returns helps investors protect against volatility and policy instability.
Recent automated crop mapping via supervised learning-based methods have demonstrated unprecedented improvement over classical techniques. However, most crop mapping studies are limited to same-year crop mapping in which the present year's labeled data is used to predict the same year's crop map. Classification accurac…
This study examines the interaction between CDS and stock indices, revealing significant short and long-term impacts.