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مدیریت پرتفوی متشکل از انواع دارایی ریسکی و درآمد ثابت با مدلهای مبتنی بر ارزش درمعرض ریسک در بازار ایران | ||
راهبرد مدیریت مالی | ||
مقاله 3، دوره 10، شماره 3 - شماره پیاپی 38، مهر 1401، صفحه 43-76 اصل مقاله (842.84 K) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22051/jfm.2022.40747.2702 | ||
نویسندگان | ||
مرضیه کاظمی راشنانی1؛ سمیه السادات موسوی* 2؛ احسان حاجیزاده3 | ||
1دانشجوی کارشناسی ارشد سیستمهای مالی، گروه مهندسی صنایع، دانشکده فنی مهندسی، دانشگاه میبد، میبد، ایران | ||
2استادیار، گروه مهندسی صنایع، دانشکده فنی مهندسی، دانشگاه میبد، میبد، ایران | ||
3استادیار، دانشکده مهندسی صنایع و سیستمهای مدیریت، دانشگاه صنعتی امیرکبیر، تهران، ایران | ||
چکیده | ||
در این پژوهش با هدف ارائه بهترین رویکرد جهت بهینه سازی سبد متشکل از پنج کلاس دارایی شامل؛ ارزهای دیجیتال، ارزهای خارجی، طلا، سهام و صندوقهای سرمایه گذاری مشترک و در سه گروه؛ صندوقهای سرمایهگذاری با درآمدثابت، صندوقهای سرمایه گذاری سهام و صندوقهای سرمایه گذاری مختلط، به توسعه مدلهای میانگین-ارزش در معرض ریسک و میانگین-ارزش در معرض ریسک شرطی و حل آنها با الگوریتم کلونی مصنوعی زنبور عسل پرداخته شده است. عملکرد مدلهای توسعهیافته مبتنی بر ارزش در معرض ریسک، با مدلهای میانگین-واریانس، میانگین-نیمواریانس و میانگین-قدرمطلق انحرافات مقایسه شده است. همچنین، کارایی مدلها در حضور محدودیتهای حد بالا و پایین دارایی، حداقل و حداکثر وزن گروه دارایی و ترکیب دو محدودیت ارزیابی شده است. بازه زمانی مورد بررسی این پژوهش از ابتدای مردادماه سال1394 تا انتهای آذر1400 است. نتایج بدست آمده از این مدلها در بخش دروننمونه و بروننمونه حاکی از آن است که سنجه ارزش در معرض ریسک شرطی چه در حضور محدودیتها و چه بدون حضور آنها، نسبت به سایر سنجه های ریسک عملکرد بهتری در مدیریت پرتفوی متشکل از انواع دارایی دارد. همچنین، در بهینه سازی سبد چندنوع دارایی، کارایی و برتری الگوریتم کلونی مصنوعی زنبور عسل در مقایسه با دو الگوریتم رقابت استعماری و ازدحام ذرات براساس نسبتهای شارپ، شارپ شرطی و بازده به ریسک تأیید شد. | ||
کلیدواژهها | ||
پرتفوی چندنوع دارایی؛ ارزش در معرض ریسک شرطی؛ ارزدیجیتال؛ اوراق با درآمد ثابت | ||
عنوان مقاله [English] | ||
Multi-Asset Portfolio Management Including Fixed Income Securities by Value at Risk based Models in Iran Market | ||
نویسندگان [English] | ||
Marzieh Kazemi-Rashnani1؛ Somayeh Mousavi2؛ Ehsan Hajizadeh3 | ||
1Department of Industrial Engineering, Faculty of Engineering, Meybod University, Meybod, Iran. | ||
2Department of Industrial Engineering, Faculty of Engineering, Meybod University, Meybod, Iran. | ||
3Assistant Professor, Faculty of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran | ||
چکیده [English] | ||
This paper aims to provide the best approach to optimize the multi-asset portfolio of five asset classes including cryptocurrencies, foreign currencies, gold, stock and investment funds in three groups of fixed income investment funds, stock investment funds and Mutual investment funds. Purposely, the mean-value at risk and mean-conditional value at risk models have been developed and solved using the artificial bee colony algorithm. The performance of the value at risk based models is compared with the mean-variance, mean-semi variance and mean–absolute deviation models. Also, the profitability of the models is evaluated in the presence of three real world constrains, i.e. quantity constrains, class constrains and the both. Our investigation time period is from August 2015 to December 2020. The in-sample and out-of-sample results showed that the conditional value at risk model outperforms the other models, whether in the presence of constraints or not. Also, the artificial bee colony algorithm was superior to the imperialist competitive and particle swarm optimization algorithms in multi asset portfolio management, based on Sharpe, conditional Sharpe and return on risk ratios. | ||
کلیدواژهها [English] | ||
Multi-Asset Portfolio, Conditional Value at Risk, Cryptocurrencies, Fixed Income Securities | ||
سایر فایل های مرتبط با مقاله
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مراجع | ||
Adeli, Omid Ali. (2016). "An Appraisal Of Rating Of Mutual Funds Performance In Iran". Journal of Financial Economics(Financial Economics and Development), 10(36), 87-104. (in persian) Aghamohammadi, Ahmad., Ohadi, Fereydoon., Seighaly, Mohsen., and Banimahd, Bahman. (2020). "Estimating the Investment Risk in a Digital Currency Portfolio and Optimizing it Using Value at Risk". Financial Knowledge of Securities Analysis, 13(47), 17-31. (in persian) Ali, Hanen Ould, and Faouzi Jilani. (2014).“Mean-VAR Model with Stochastic Volatility.” Procedia- Social and Behavioral Sciences, 2nd World Conference on Business, Economics and Management, 109(7), 558-566. Andrianto, Yanuar, and Yoda Diputra. (2018). “The Effect of Cryptocurrency on Investment Portfolio Effectiveness.” Journal of Finance and Accounting 5 (6), 229. Artzner, Philippe, Freddy Delbaen, Jean-Marc Eber, and David Heath. (1999). “Coherent Measures of Risk.” Mathematical Finance 9 (3), 203-228. Baumol, William J. 1963. “An Expected Gain-Confidence Limit Criterion for Portfolio Selection.” Management Science 10 (1), 174-182. Bahri Sales, Jamal., Pakmaram, Askar., and Valizadeh, Mostafa. (2018). . "Selection and Portfolio Optimization by Mean–Variance Markowitz Model and Using the Different Algorithms". Financial Knowledge of Securities Analysis, 11(37), 43-53. (in persian) Bayat, Ali., and asadi, lida.(2017). "Stock Portfolio optimization: Effectiveness of particle swarm optimization and Markowitz model". Financial Engineering and Portfolio Management, 8(32), 63-85. (in persian) Bessler, Wolfgang, and Dominik Wolff. (2015). “Do commodities add value in multi-asset portfolios? An out-of-sample analysis for different investment strategies.” Journal of Banking & Finance 60,1-20. Brauneis, Alexander, and Roland Mestel. (2019). “Cryptocurrency-portfolios in a mean-variance framework.” Finance Research Letters 28,259-264. Eskandari, Mahdi., Saeedi, Ali., and Fallahshams, Mir Feyz. (2019). "The effect of Gold on Portfolio Diversification:The case of indexed portfolios from Tehran Stock Exchange". ـJournal of Financial Management Perspective, 9(27), pp. 81-107. (in persian) fallahshams, Mirfeiz., abdollahi, Ahmad., and Moghaddassi, Motahare. (2013). "Examining the Performance of Different Risk Criteria in Portfolio Selection and Optimization, Using the Ant Colony Algorithm In companies Listed at the Tehran Stock Exchange". Financial Management Strategy,1(2), 15-32. (in persian) Heidari, Hassan, and Laya Neshatizadeh. (2018). “Stock Portfolio-Optimization Model by Mean-Semi-Variance Approach Using of Firefly Algorithm and Imperialist Competitive Algorithm.” International Journal of Business and Development Studies 10(1), 115-143. Huang, Jennifer, Clemens Sialm, and Hanjiang Zhang. (2011). “Risk Shifting and Mutual Fund Performance.” The Review of Financial Studies 24 (8), 2575-2616. Kajtazi, Anton, and Andrea Moro. (2019). “The role of bitcoin in well diversified portfolios: A comparative global study.” International Review of Financial Analysis 61,143-157. Karaboga, Dervis, and Beyza Gorkemli. (2014). “A quick artificial bee colony (qABC) algorithm and its performance on optimization problems.” Applied Soft Computing 23 , 227-238. Kazemi Miyangaskari, Mina., Yakideh, Keikhosro., and Gholizadeh, Mohammad Hassan. (2017). "Portfolio Optimization (The Application of Value at Risk Model on Cross Efficiency)". Financial Management Strategy,5(2), 159-183. (in persian) Konno, Hiroshi, and Hiroaki Yamazaki. (1991). “Mean-Absolute Deviation Portfolio Optimization Model and Its Applications to Tokyo Stock Market.” Management Science 37 (5): 519-531. Koosha, Emad., and Gharib, Iman. (2019). "Optimization of Ansar bank's Customer Loan portfolio using genetic algorithm (Case study of Ansar Bank)". Financial Management Strategy,7(4), 125-150. (in persian) Kumar, Divya, and K. K. Mishra. (2017). “Portfolio optimization using novel co-variance guided Artificial Bee Colony algorithm.” Swarm and Evolutionary Computation 33 , 119-130. Liu, Weiyi. (2019). “Portfolio diversification across cryptocurrencies.” Finance Research Letters 29 , 200-205. Ma, Yechi, Ferhana Ahmad, Miao Liu, and Zilong Wang. (2020). “Portfolio optimization in the era of digital financialization using cryptocurrencies.” Technological Forecasting and Social Change 161 (December): 120265. Macedo, Luís Lobato, Pedro Godinho, and Maria João Alves. (2017). “Mean-semivariance portfolio optimization with multiobjective evolutionary algorithms and technical analysis rules.” Expert Systems with Applications 79 , 33-43. Markowitz, Harry. (1952). “Portfolio selection.” The journal of finance 7 (1), 77-91. Markowitz, Harry. (1959). “Portfolio selection: efficient diversification of investments.” Cowies Foundation Monograph. Mahmoudi, Vahid., Emamdoost, Mostafa., and Shabanpourfard, Pejman . (2017). " An Investigation Of The Role Of Real Estate In Investors’ Portfolio In Iran". Journal of Economic Research and Policies, 24(80), 241-261. (in persian) Mishra, Sudhansu Kumar, Ganapati Panda, and Babita Majhi. (2016). “Prediction based mean-variance model for constrained portfolio assets selection using multiobjective evolutionary algorithms.” Swarm and Evolutionary Computation. 28 , 117-130. Mousavi, Somayeh, Esfahanipour, Akbar and Fazel Zarandi, Mohammad Hossein. (2014), “A novel approach to dynamic portfolio trading system using multitree genetic programming.” Knowledge-Based Systems, 66, 68-81. Mousavi, Somayeh, Esfahanipour, Akbar and Fazel Zarandi, Mohammad Hossein. (2015), “MGP-INTACTSKY: Multitree Genetic Programming-based learning of INTerpretable and ACcurate TSK sYstems for dynamic portfolio trading.” Applied Soft Computing, 34, 449–462. Mousavi, Somayeh, Esfahanipour, Akbar and Fazel Zarandi, Mohammad Hossein. (2021), “A modular Takagi-Sugeno-Kang (TSK) system based on a modified hybrid soft clustering for stock selection.” Scientia Iranica, Transaction E: Industrial Engineering, 28(4), 2342-2360. Naderi Nooreini, Mohammad Mehdi. (2018). “The Best Methodology of Estimation of Value-at-Risk in Iranian Mutual Funds”. Journal of Asset Management and Financing, 6(1), 159-180. (in persian) Nateghian, Leila, Jabbarzadeh Kangarlouei, Saeid. bahri sales, Jamal.(2022). “Evaluation of investment portfolio models in mutual fund in global financial markets(with emphasis on multi-objective meta-heuristic algorithm)”.Journal of International Business Administration, 5(1), 147-166. (in persian) Neshatizade, Laya, Haidari, Hassan. (2018). “Studying of Volatility and Risk in Portfolio-Optimization Model Using of Imperialist Competitive Algorithm”. Journal of Econometric Modelling, 3(4), 11-35. (in persian) Petukhina, Alla, Simon Trimborn, Wolfgang K. Härdle, and Hermann Elendner. (2020). “Investing with Cryptocurrencies – evaluating their potential for portfolio allocation strategies.” Social Science Research Network. Platanakis, Emmanouil, Charles Sutcliffe, and Andrew Urquhart. (2018). “Optimal vs naïve diversification in cryptocurrencies.” Economics Letters 171, 93-96. Rahmani, Mahmoud., Khalili Araghi, Maryam., and Nikoomaram, Hashem. (2020). "Portfolio Selection by Means of Artificial Bee Colony Algorithm and its Comparison with Genetic Algorithm and Ant Colony Algorithm". Financial Knowledge of Securities Analysis, 13(45), 31-46. (in persian) Rahnama Roodposhti, Fereydoun., Sadeh, Ehsan., Fallahshams, Mirfeiz., Ehteshamrasi, Reza., and Jalilian, Jamil. (2018). "A Portfolio Optimization Model for a Private Equity Investment Company under Data Insufficiency Condition with an Artificial Bee Colony Meta-heuristic Approach". Financial Engineering and Portfolio Management, 9(35), 77-104. (in persian) Ren, Y., Ye, T., Huang, M., & Feng, S. (2018). "Gray wolf optimization algorithm for multi-constraints second-order stochastic dominance portfolio optimization". Algorithms, 11(5), 72. Rockafellar, R. Tyrrell; Uryasev, Stanislav (2000). "Optimization of conditional value-at-risk". Journal of Risk, 2 (3), 21–42. Saborido, Rubén, Ana B. Ruiz, José D. Bermúdez, Enriqueta Vercher, and Mariano Luque. (2016). “Evolutionary multi-objective optimization algorithms for fuzzy portfolio selection.” Applied Soft Computing 39, 48-63. sabahi, soudeh., Mokhatab Rafiei., Farimah, and Rastegar, MohammadAli. (2020). "Mixed- Asset Portfolio Optimization". Monetary & Financial Economics, 27(19), 249-278. (in persian) Sedaghati, Moslem., Mehrara, Mohsen., Tehrani, Reza., and Mirlohi, Mojtaba. (2022). . "Comparison of Optimal Portfolio Performance Based on Value at Risk and Upside Risk with Conventional Models". Financial Management Strategy,10(1), 1-30. (in persian) Shams Gharneh, Naser., and Shahlaie, Shahaboddin. (2014). "Providing Correct Amount Of Diversification In Portfolio Of Mutual Funds With Respect To The Impact Of Being Sectoral On The Return And Risk Of Mutual Funds". Journal of Asst Management and Financing, 3(3), 67-79. (in persian) Shiri Ghehi, Amir., Didehkhani, Hosein., Khalili Damghani, Kaveh., and Saeedi, Parviz. (2017). "A Comparative Study of Multi-Objective Multi-Period Portfolio Optimization Models in a Fuzzy Credibility Environment Using Different Risk Measures". Journal of Financial Management Strategy, 5 (3), 1-26. (in persian) Symitsi, Efthymia, and Konstantinos J. Chalvatzis. (2019). “The economic value of Bitcoin: A portfolio analysis of currencies, gold, oil and stocks.” Research in International Business and Finance 48 , 97-110. Tahmasebi, Faramarz. (2015). "Estimate of investment risk in an asset portfolio in Iran". Journal of Economic Research (Tahghighat- E- Eghtesadi), 50(4), 903-923. (in persian) Trimborn, Simon, Li Mingyang, and Wolfgang Karl Härdle. (2017). “Investing with cryptocurrencies.” WorkingPaper. Humboldt-Universität zu Berlin. Wen, Xiaoqian, and Duc Khuong Nguyen. (2017). “Can investors of Chinese energy stocks benefit from diversification into commodity futures?” Economic Modelling 66 , 184-200. | ||
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