Achieving financial stability during a liquidity crisis: a multi-objective approach

2021 ◽  
Author(s):  
Gaffeo Edoardo ◽  
Gobbi Lucio
2020 ◽  
Vol 39 (5) ◽  
pp. 6339-6350
Author(s):  
Esra Çakır ◽  
Ziya Ulukan

Due to the increase in energy demand, many countries suffer from energy poverty because of insufficient and expensive energy supply. Plans to use alternative power like nuclear power for electricity generation are being revived among developing countries. Decisions for installation of power plants need to be based on careful assessment of future energy supply and demand, economic and financial implications and requirements for technology transfer. Since the problem involves many vague parameters, a fuzzy model should be an appropriate approach for dealing with this problem. This study develops a Fuzzy Multi-Objective Linear Programming (FMOLP) model for solving the nuclear power plant installation problem in fuzzy environment. FMOLP approach is recommended for cases where the objective functions are imprecise and can only be stated within a certain threshold level. The proposed model attempts to minimize total duration time, total cost and maximize the total crash time of the installation project. By using FMOLP, the weighted additive technique can also be applied in order to transform the model into Fuzzy Multiple Weighted-Objective Linear Programming (FMWOLP) to control the objective values such that all decision makers target on each criterion can be met. The optimum solution with the achievement level for both of the models (FMOLP and FMWOLP) are compared with each other. FMWOLP results in better performance as the overall degree of satisfaction depends on the weight given to the objective functions. A numerical example demonstrates the feasibility of applying the proposed models to nuclear power plant installation problem.


2020 ◽  
Vol 39 (3) ◽  
pp. 3259-3273
Author(s):  
Nasser Shahsavari-Pour ◽  
Najmeh Bahram-Pour ◽  
Mojde Kazemi

The location-routing problem is a research area that simultaneously solves location-allocation and vehicle routing issues. It is critical to delivering emergency goods to customers with high reliability. In this paper, reliability in location and routing problems was considered as the probability of failure in depots, vehicles, and routs. The problem has two objectives, minimizing the cost and maximizing the reliability, the latter expressed by minimizing the expected cost of failure. First, a mathematical model of the problem was presented and due to its NP-hard nature, it was solved by a meta-heuristic approach using a NSGA-II algorithm and a discrete multi-objective firefly algorithm. The efficiency of these algorithms was studied through a complete set of examples and it was found that the multi-objective discrete firefly algorithm has a better Diversification Metric (DM) index; the Mean Ideal Distance (MID) and Spacing Metric (SM) indexes are only suitable for small to medium problems, losing their effectiveness for big problems.


2012 ◽  
pp. 32-47
Author(s):  
S. Andryushin ◽  
V. Kuznetsova

The paper analyzes central banks macroprudencial policy and its instruments. The issues of their classification, option, design and adjustment are connected with financial stability of overall financial system and its specific institutions. The macroprudencial instruments effectiveness is evaluated from the two points: how they mitigate temporal and intersectoral systemic risk development (market, credit, and operational). The future macroprudentional policy studies directions are noted to identify the instruments, which can be used to limit the financial systemdevelopment procyclicality, mitigate the credit and financial cycles volatility.


2020 ◽  
pp. 66-92 ◽  
Author(s):  
A. E. Abramov ◽  
A. D. Radygin ◽  
M. I. Chernova ◽  
R. M. Entov

This article analyzes the key patterns of the dividend policy and the problem of the “dividend puzzle” in the general context of the development of the stock market in Russia. The article consists of two parts.In the first part we summarize main research trends of dividend policy in modern economic theory (the classical Modigliani—Miller theory of dividend irrelevance, agent and signal hypotheses, the smoothing model, the catering theory, etc.). We emphasize the theoretical analysis of motivation of the largest Russian companies for profit allocation and dividend payout, based on a sample of 236 joint stock companies. Since 2012, a steady increase in dividend payments has been revealed in both private and state-owned enterprises (SOEs). The bulk of dividend payments from SOEs accounts for only 12 major companies. Along with an increase in the market value, dividends have become an important factor in the total return on shares. Under current conditions, the probability of paying dividends depends not only on the size of the company and indicators of its’ financial stability, but also on the presence of the state in the capital of companies. However, the relationship between the probability of paying dividends and state participation in the ownership structure is not universal and can be explained by specific factors that go beyond the classical dividend theories.In the second part we will analyze the patterns of stock market performance and dividend policy of the largest Russian companies, motivation for dividend payouts and special aspects of SOEs policy.


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