scholarly journals Regulacija financijskog tržišta prije i nakon svjetske krize

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Anita Radman Peša ◽  
Vanja Zubak ◽  
Duje Mitrović

The banking sector in the global economic system is an area of great impact on the preservation of macroeconomic stability. As it turned out, and during the recent economic crisis, whose consequences are still felt in many countries, the collapse of the financial markets has farreaching effects on all of the national financial markets. The aim of this paper is to analyze the existing regulation of the financial markets and its (lack of) performance in the current financial risk management in order to preserve macroeconomic stability, and provide a secure and stable banking system. The purpose of the study was to present financial regulation before the crisis of 2008 / 2009, and to compare it with the regulations issued after the global crisis of 2008 / 2009 in order to conclusion whether it is cosmetic or real changes of regulating the financial system, and whether existing regulation in the future successfully prevent minor and major disruptions of the financial markets. Croatian financial market is especially analysed in the case of manipulation using the benchmark interest rates.

2012 ◽  
pp. 421-435
Author(s):  
Loris Nadotti

Negli ultimi anni č cresciuta la sensibilitŕ dei gestori della finanza degli enti pubblici locali italiani per il rischio causato dalle variazioni dei tassi di interessi e per gli effetti che queste producono sui costi per interessi. Si č passati progressivamente da una gestione passiva degli strumenti di debito al cosiddetto financial risk management, inteso come metodo per il controllo dei rischi finanziari. Scopo dell'articolo č dimostrare come l'uso dei derivati finanziari, in queste circostanze e compatibilmente con il quadro normativo in vigore puň costituire una opportunitŕ ma, se non correttamente amministrato, anche una fonte aggiuntiva di rischi. Nell'articolo si delinea il quadro normativo e quantitativo riferito alla situazione italiana nell'ultimo decennio e si formulano alcune proposte per la gestione delle operazioni in derivati da parte degli enti della pubblica amministrazione locale italiana. In recent years, the sensitivity of the managers of the finance of Italian local government for the risk caused by changes in interest rates and the effects they produce on interest costs rose.


Author(s):  
Mirela-Madalina Stoian ◽  
Rares-Gabriel Stoian

The present paper intends to serve as an introduction into the financial risk management universe. It starts with the basic assumption that performance of an organization is inseparable from the risks it is facing. Any organization should have in place the necessary tools to identify, assess and constantly measure the risks it is exposed to. The paper focuses in defining the basic principles in creating a viable risk management framework that keeps track of three major categories of identified financial risks: market risk, credit risk and liquidity risk. Emphasis is put on the models to measure these types of risks but also on the tools an organization can use in order to reduce them. The second part of the paper is dedicated to recent events that shaped and shocked financial markets and illustrate the consequences faced by organizations when risks are not properly assessed and the risk management models in place are based on dangerously unrealistic notions.


Author(s):  
Gamze Özel

The financial markets use stochastic models to represent the seemingly random behavior of assets such as stocks, commodities, relative currency prices such as the price of one currency compared to that of another, such as the price of US Dollar compared to that of the Euro, and interest rates. These models are then used by quantitative analysts to value options on stock prices, bond prices, and on interest rates. This chapter gives an overview of the stochastic models and methods used in financial risk management. Given the random nature of future events on financial markets, the field of stochastic processes obviously plays an important role in quantitative risk management. Random walk, Brownian motion and geometric Brownian motion processes in risk management are explained. Simulations of these processes are provided with some software codes.


Author(s):  
I. A. Kiseleva ◽  
N. E. Simonovich ◽  
O. V. Pribytkova

The article describes the problems of introduction of asset securitization in Russia in terms of standardization of processes in the field of risk management and the establishment of risk management profession considered the key principles and stages of financial risk management, asset securitization model are studied. The attractiveness of securitization is the company's financing capabilities by transferring assets from their balance sheets, or borrowing against those assets to refinance the original loan at a fair market rate. The possibilities of a securitization, its advantages and disadvantages. Particular attention is paid to the securitization crisis in the global financial market. The positive aspects of securitization include: the possibility of financing through the sale of assets to a specially created legal entity; serious impetus to improve the efficiency of the banking sector; opens up direct access to the global financial market; reduces all funding costs; limits credit risk to asset risk; improves the balance sheets of banks, corporations; promotes access to various sources of funding; reduction of the cost of attracted financing; optimization of the structure of the investment portfolio; securitized assets are less subject to event risk. In Russia, the securitization market is growing at a high rate and also has potential in its existence. But since the legal system is underdeveloped in our country, most likely it is the main reason that the ratings of securitization transactions are limited. The upper limit of the rating in the end, perhaps, will be limited by event risks.


2020 ◽  
Vol 25 (1) ◽  
pp. 26-32
Author(s):  
Florin Ilie

AbstractThis paper addresses a very topical issue, given by the world of financial investments and especially by the period of great uncertainty that we are going through. It is rightly said that it is the simplest and most enjoyable thing to be an investor when the market grow/hikes/rises. Differences between investors occur when feelings of fear and panic become widespread and flood the stock markets. Are we now in a period of sharp declines in the world’s financial markets or is it just a correction? Experimenting with new asset classes, identifying the huge opportunities that the market has to offer, the correct management of risks and possible earnings are some of the most important aspects in the context of getting the highest possible earnings. This paper focuses on risk management in order to maximize earnings during a large-scale crisis, such as the current global situation generated by coronavirus or how you can add value to the investor spirit in your portfolio.


2014 ◽  
Vol 1044-1045 ◽  
pp. 1799-1802
Author(s):  
Ruo Min Liu

With the development of financial markets, financial products innovation and global competition intensifies, the risk of financial market in China will be more complex and varied. How to deal with these risks and effective management has become the crucial problem of the financial institutions and regulators. VaR model as a tool to measure market risk, is increasingly becoming the current international financial mainstream risk management and financial supervision method, wide support and recognition by the international financial community. This paper introduces the background and meaning of the VaR method and studied the VaR method in the application of all kinds of financial risk management.


2018 ◽  
pp. 473-488
Author(s):  
Gamze Özel

The financial markets use stochastic models to represent the seemingly random behavior of assets such as stocks, commodities, relative currency prices such as the price of one currency compared to that of another, such as the price of US Dollar compared to that of the Euro, and interest rates. These models are then used by quantitative analysts to value options on stock prices, bond prices, and on interest rates. This chapter gives an overview of the stochastic models and methods used in financial risk management. Given the random nature of future events on financial markets, the field of stochastic processes obviously plays an important role in quantitative risk management. Random walk, Brownian motion and geometric Brownian motion processes in risk management are explained. Simulations of these processes are provided with some software codes.


Author(s):  
Gamze Özel

The financial markets use stochastic models to represent the seemingly random behavior of assets such as stocks, commodities, relative currency prices such as the price of one currency compared to that of another, such as the price of US Dollar compared to that of the Euro, and interest rates. These models are then used by quantitative analysts to value options on stock prices, bond prices, and on interest rates. This chapter gives an overview of the stochastic models and methods used in financial risk management. Given the random nature of future events on financial markets, the field of stochastic processes obviously plays an important role in quantitative risk management. Random walk, Brownian motion and geometric Brownian motion processes in risk management are explained. Simulations of these processes are provided with some software codes.


Author(s):  
Mirela-Madalina Stoian ◽  
Rares-Gabriel Stoian

The present paper intends to serve as an introduction into the financial risk management universe. It starts with the basic assumption that performance of an organization is inseparable from the risks it is facing. Any organization should have in place the necessary tools to identify, assess and constantly measure the risks it is exposed to. The paper focuses in defining the basic principles in creating a viable risk management framework that keeps track of three major categories of identified financial risks: market risk, credit risk and liquidity risk. Emphasis is put on the models to measure these types of risks but also on the tools an organization can use in order to reduce them. The second part of the paper is dedicated to recent events that shaped and shocked financial markets and illustrate the consequences faced by organizations when risks are not properly assessed and the risk management models in place are based on dangerously unrealistic notions.


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