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Alireza Saranj -علیرضا سارنج
Alireza Saranj -علیرضا سارنج
Assistant Professor of Finance, University of Tehran
Verified email at ut.ac.ir
Title
Cited by
Cited by
Year
The electricity consumption forecast: Adopting a hybrid approach by deep learning and ARIMAX-GARCH models
A Saranj, M Zolfaghari
Energy Reports 8, 7657-7679, 2022
122022
Identification of the Most Critical Factors in Bankruptcy Prediction and Credit Classification of Companies.
G Jandaghi, A Saranj, R Rajaei, A Ghasemi, R Tehrani
Iranian Journal of Management Studies 14 (4), 2021
112021
Tehran Stock Exchange dynamics in a Markov regime switching EGARCH-in-mean model
R Raee, S Mohmadi, A Saranj
Financial Research Journal 16 (1), 77-98, 2014
112014
انتخاب پرتفوي با استفاده از سه معيار ميانگين بازدهي، انحراف معيار بازدهي و نقدشوندگي در بورس اوراق بهادار تهران
اسلامي بيدگلي غلامرضا, سارنج عليرضا
بررسيهاي حسابداري و حسابرسي 15 (53), 3-16, 2008
10*2008
Identifying the trading behaviors and risk of noise traders in Iran stock market
A Saranj, R Tehrani, K Abbasi Museloo, M Nadiri
Financial Management Strategy 6 (3), 31-58, 2018
82018
The Agent-based modeling of stockholders’ behavior in Iranian capital market
A Azar, A Saranj, AA Sadeghi Moghadam, A Rajabzadeh, H Moazzez
Financial Research Journal 20 (2), 130-150, 2018
82018
Portfolio Selection Using Return Mean, Return Standard Deviation and Liquidity in Tehran Stock Exchange
BGHR ESLAMI, AR SARANJ
THE IRANIAN ACCOUNTING AND AUDITING REVIEW 15 (53), 3-16, 2008
82008
Investigation of Relationship Between Noise Trading and Share Returns In Iran Stock market
KA Museloo, A Saranj, R Tehrani, M Nadiri
Journal of Financial Management Perspective, 77-99, 2019
62019
Estimating of value at risk and expected shortfall by using conditional extreme value approach in Tehran Securities Exchange
A Saranj, M Nourahmadii
Financial Research Journal 18 (3), 437-460, 2016
62016
بررسي وجود پديده بازگشت به ميانگين در بورس اوراق بهادار تهران با استفاده از آزمون نسبت واريانس
تهراني رضا, انصاري حجت اله, سارنج عليرضا
بررسيهاي حسابداري و حسابرسي 15 (54), 17-32, 2009
6*2009
The Study of Mean Reversion in Tehran Security Exchange Using Variance Ratio Test
R Tehrani, H Allah Ansari, A Saranj
Accounting and Auditing Review 16 (1), 2009
42009
Model design for stock statistical arbitrage using deep neural networks, random forests and gradient-boosted trees
F Kamari, A Saranj, R Tehrani, M Shahbazi
Modern Research in Decision Making 4 (3), 23-45, 2019
32019
The dynamic impact of oil price on investor sentiment in Tehran Stock Exchange: An industry-level analysis
SH Masoudi Alavi, M Nadiri, AR Saranj
Iranian Journal of Finance 5 (3), 38-57, 2021
22021
Identifying Bull and Bear Periods in Iran’s Stock Market Using a Non-parametric Approach
A Saranj, M Ramshini, SM Alavi Nasab, M Nadiri
Financial Research Journal 19 (4), 535-556, 2017
22017
Rating parametric and nonparametric methods for estimating the expected shortfall and value at risk
M Rostami, A Saranj, Z Savari
Journal of Investment knowledge 6 (22), 113-130, 2017
22017
Statistical ranking of different VaR and ES models by using Model Confidence Set approach for the banking industry: With an emphasis on Conditional Extreme Value Theory
A Saranj, M Nourahmadi
Financial Engineering and Portfolio Management 8 (30), 131-146, 2017
22017
Developing a Stock Technical Trading System Integrating MLP Neural Network with Evolutionary Algorithms
A Saranj, A Ghasemi, A Eram, R Tehrani
FINANCIAL KNOWLEDGE OF SECURITY ANALYSIS (FINANCIAL STUDIES) 13 (45001622 …, 2020
12020
The Application of Rough Set Theory in Stock Price Forecasting (Case Study: Iran Saderat Bank)
A Saranj, T Karimi, MS Babakan
Journal of Financial Management Strategy 5 (18), 2017
12017
Explaining the Nonlinear Response of Tehran Stock Exchange Price Index to Oil Price Shocks Using Markov Switching Regime
علیرضا سارنج, میلاد رفیعی
راهبرد مدیریت مالی 11 (4), 2023
2023
Explaining the Nonlinear Response of Tehran Stock Exchange Price Index to Oil Price Shocks Using Markov Switching Regime
A Saranj, M Rafiee
Financial Management Strategy 11 (4), 1-24, 2023
2023
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