مطالب مرتبط با کلیدواژه

Financial Market


۱.

Fiscal versus Monetary Dominance: Evidence from Iran(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Money and Economy, Vol. ۱۳, No. ۳, Summer ۲۰۱۸ 375-400

کلیدواژه‌ها: Fiscal Dominance Monetary Dominance Macroeconomics Financial Market

حوزه های تخصصی:
تعداد بازدید : ۳۸۳ تعداد دانلود : ۲۷۱
In this paper, we dealt with fiscal dominance, which is a situation in which the fiscal authority sets its expenditure and taxes without regard to any requirement of intertemporal budget balance. Therefore, the monetary authority must adjust its policies to ensure that the government budget is in balance. The existence of oil revenues for the government on the one hand and its lack of access to the financial market, on the other hand, are reasons that we can see financial repression and fiscal dominance in the economy of Iran. This paper presents forward-looking estimates of the relationship between the change in the consolidated primary deficit and the change in the monetary base. This study covers the period 1978-2017, and an autoregressive approach is applied. We conclude that using the budget data only, the existence of fiscal dominance cannot be rejected.
۲.

Impacts of Economic Variables on Herding Behavior in Tehran Stock Exchange Industries(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Money and Economy, Vol. ۱۴, No. ۳, Summer ۲۰۱۹ 317-333

کلیدواژه‌ها: Herding Behavior Cross-Sectional Standard Deviation Financial Market Macroeconomics

حوزه های تخصصی:
تعداد بازدید : ۳۷۱ تعداد دانلود : ۲۳۰
The stock market is influenced by other parallel markets and macroeconomic variables; such variables have impacts on the behavior of financial market players. Accordingly, this study first examines the existence of herding behavior among investors in the Tehran Stock Exchange (TSE). It then investigates the effects of exogenous economic variables on this industry-level behavior in the Tehran Stock Exchange (TSE) throughout 2008- 2018. For this purpose, 12 different industries were studied, and the results of nonlinear regression analysis showed the existence of herding behavior in all selected industries in the bearish market. However, this is not true for the bullish market. The findings also indicate that the effects of exogenous variables are not the same in different industries.
۳.

Insurer Optimal Asset Allocation in a Small and Closed Economy: The Case of Iran’s Social Security Organization(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Money and Economy, Vol. ۱۵, No. ۴, Fall ۲۰۲۰ 445-461

کلیدواژه‌ها: ALM Portfolio Optimization Insurer Decision-making Financial Market

حوزه های تخصصی:
تعداد بازدید : ۳۳۲ تعداد دانلود : ۱۹۴
We seek to determine the optimal amount of the insurer’s investment in all types of assets for a small and closed economy. The goal is to detect the implications and contributions the risk seeker and risk aversion insurer commonly make and the effectiveness in the investment decision. Also, finding the optimum portfolio for each is the main goal of the present study. To this end, we adopted the optimal asset-liability management (ALM) method to control the firm's risk of financial stability and growth by balancing the assets and liabilities of the firm. In the process, stochastic interest rates and inflation risks were taken into account according to the expected utility maximization framework. All assets were established and calculated by the Kalman Filter with the stochastic interest rate following the Hull-White model; an additional stochastic process models the inflation risk. To consider the stochastic process, we employed the geometric Brownian motion in the liability process to ensure a definite liability value. We chose Iran’s Social Security Organization as our sample insurer company since it has a portfolio of five types of assets and four types of liabilities, and operates in a small and closed economy. By Applying the ALM method with the stochastic control theory approach, we acquire the optimal investment strategies for insurers to minimize their risk. Our findings demonstrate the effects of model parameters, such as the degree of risk-taking on the insurer decision.
۴.

Capsule Network Regression Using Information Measures: An Application in Bitcoin Market(مقاله علمی وزارت علوم)

نویسنده:
منبع: Advances in Mathematical Finance and Application, Volume ۷, Issue ۱, Winter ۲۰۲۲ 37-48

کلیدواژه‌ها: deep learning Financial Market Prediction

حوزه های تخصصی:
تعداد بازدید : ۳۳۰ تعداد دانلود : ۱۶۴
Predicting financial markets has always been one of the most challenging issues, attracting the attention of many investors and researchers. In this regard, deep learning methods have been used a lot recently. Due to the desired results, such networks are always in development and progress. One of the networks that is being implemented in various fields is capsule network. The first time the classification capsule network was introduced, it was able to attract a lot of attention with its success on MNIST data 1 . In such networks, as in the other ones, the parameters are obtained by minimizing a loss function. In this paper, we first change the classification capsule network to a regression capsule network by modifying the last layer of the network. Then we use different information measures such as Kullnack-Leibler, Lin-Wang and Triangular information measures as a loss function, and compare their results with wellknown models including Artificial Neural Network (ANN), Convolutional Network (CNN) and Long Short-Term Memory (LSTM) as well as common used loss functions such as Mean Square Error (MSE) and Mean Absolute Percentage Error (MAPE). Using appropriate accuracy metrics, it is shown that the capsule network using triangular information measure is well able to predict the price of bitcoin for the medium and long term period including 10, 90 and 180 days.
۵.

A Data Envelopment Analysis Model to Provide a Dynamic Accounting Information System for Measuring the Financial Effectiveness of Management Accounting System(مقاله علمی وزارت علوم)

نویسنده:
منبع: Advances in Mathematical Finance and Application, Volume ۷, Issue ۱, Winter ۲۰۲۲ 169-186

کلیدواژه‌ها: deep learning Financial Market Prediction

حوزه های تخصصی:
تعداد بازدید : ۲۶۹ تعداد دانلود : ۲۱۶
The secret to achieving your organization's goals in complex and challenging environments is to make the right managerial and rational decisions. In this regard, the accounting information system as one of the sources of information for the decision of managers is of particular importance. Therefore, in order to achieve these goals, it is necessary to have an accounting information system with dynamic capabilities. The dynamic capability of the accounting information system (hidden variable) was measured by the observed variables of flexibility, continuous evaluation, continuous investment and system variability. Therefore, based on this argument, the aim of the present study is to provide a dynamic capability model of the accounting system based on the financial effectiveness of the management accounting system. Data envelopment analysis is a well-known methodology that is applied to evaluate the selected firms based on the most important features. The results of analysis of the proposed method on 86 companies listed on the Tehran Stock Exchange and analysis and analysis of data by structural equation modeling show that the dynamic capability of the accounting information system consists of (flexibility, continuous evaluation, continuous investment and system variability). The result indicate that the management accounting system is effective.
۶.

تحلیل مقایسه ای تأثیر توسعه بازار صکوک بر سودآوری بانک ها در بانک های اسلامی و متعارف(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشهای اقتصادی (رشد و توسعه پایدار) سال ۲۴ تابستان ۱۴۰۳ شماره ۲ 233 - 263

کلیدواژه‌ها: Financial Market financial crisis banking system بازار مالی بحران مالی نظام بانکی

حوزه های تخصصی:
تعداد بازدید : ۶۵ تعداد دانلود : ۵۴
یکی از ابزار های مهم و موئر در توسعه اقتصادی کشور، نظام بانکی کارآمد است. بانک ها، از بخش های اصلی در فعالیت های مالی هستند.  یکی از ویژگی های مهم بانک ها و موسسات مالی، سود آوری و بازدهی آن هاست. هم بازار سرمایه و هم بازار پول می بایست در اندیشه ایجاد راهکارهایی برای خلق ابزار های مختلف تأمین مالی برای پشتیبانی از تولید، سرمایه گذاری و اشتغال باشند. در بازارهای مالی اسلامی، صکوک مهمترین اوراق بهادار مالی اسلامی است. صکوک به گونه ای طراحی شده است که با قوانین اسلامی سازگار باشد. این ویژگی صکوک آن را تبدیل به یک منبع مهم برای تأمین سرمایه برای ناشران بیرو  از جهان اسلام کرده است که به دنبال دستیابی به نقدینگی ارائه شده توسط سرمایه گذاران اسلامی می باشند. صکوک پرتفوی سرمایه گذاران را تنوع می بخشد و فرصت های سرمایه گذاری در دارایی جدید را ارائه می دهد، و از طرفی ناشران می توانند از نقدینگی فزآینده حاصل از تقاضای در حال رشد در میان شمار زیادی از سرمایه گذاران نهادی و فردی برای ابزارهای سرمایه گذاری سازگار با شریعت، منتفع گردند. هدف اصلی این پژوهش تحلیل مقایسه ای تاثیر توسعه بازار صکوک بر سودآوری بانک ها در بانک های اسلامی و متعارف است. برای دستیابی به هدف فوق، اطلاعات 15 کشور در حوزه خلیج فارس در بازه زمانی 2014 تا 2021 مورد بررسی قرار گرفت. برای آزمون فرضیه های پژوهش، از روش رگرسیون چندمتغیره به روش داده های ترکیبی استفاده شده است. نتایج حاصل از پژوهش نشان داد توسعه ی بازار صکوک سودآوری بانک های اسلامی را افزایش می دهد. همچنین، نتایج نشان داد که توسعه ی بازار صکوک تاثیری بر سودآوری بانک های متعارف ندارد. علاوه بر این نتایج نشان داد بحران کووید 19 تاثیر توسعه بازار صکوک بر سودآوری بانک های اسلامی و متعارف را تعدیل نمی کند.