advances in mathematical finance and applications سال:2024 - دوره:9

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advances in mathematical finance and applications
سال:2024 - دوره:9 - شماره:3

a new method of sensitivity analysis of returns to scale in two-stage network; a case study of the insurance industry in iran - صفحه:1070-1098 comparing the performance of machine learning techniques in detecting financial frauds - صفحه:1006-1023 computing the efficiency of bank branches with financial indexes, an application of data envelopment analysis (dea) and big data - صفحه:817-839 designing a model for predicting corporate bankruptcy using ensemble learning techniques - صفحه:856-872 designing a model to investigate the process of forming cluster fluctuations according to the fractal structure in financial markets - صفحه:840-855 designing a trading strategy to buy and sell the stock of companies listed on the new york stock exchange based on classification learning algorithms - صفحه:1128-1139 designing prediction model of financial restatements using neural-genetic simulation algorithm - صفحه:1024-1042 developing financial distress prediction models based on imbalanced dataset: random undersampling and clustering based undersampling approaches - صفحه:737-762 development of a new swot-mcdm model to create marketing and financial strategies in conditions of uncertainty (case study of iralco company) - صفحه:1043-1069 early warning model for solvency of insurance companies using machine learning: case study of iranian insurance companies - صفحه:873-899 examining financial performance and corporate governance in tehran stock exchange: a hybrid machine learning and data envelopment analysis approach - صفحه:932-952 financial reporting readability: a new artificial neural network and multi-indicator decision making approach - صفحه:953-982 information asymmetry with emphasis on the role of financial and managerial criteria based on fuzzy logic and artificial neural networks - صفحه:806-816 investigating the impact of financial development indicators and economic and international trade performance on the stock and financial markets - صفحه:763-776 modelling robust optimization in dea with ratio data: a case study of commercial banks - صفحه:777-805 net working capital investment policies, the value of financial flexibility and financial constraint, evidence from the tehran stock exchange - صفحه:916-931 presenting a model for predicting various types of stock movement trends in water-intensive industries using a decision tree - صفحه:1110-1127 presenting an explanatory model of stock price using deep learning algorithm - صفحه:1099-1109 the co-movement between bitcoin, gold, usd and oil: dcc-garch and smooth transition regression (str) model - صفحه:900-915 the modeling the fixed asset investing with a machine learning approach by emphasizing the role of financial criteria - صفحه:983-1005