scholarly journals Market Risk, Credit Risk, and Futures Trading in Commodity Markets

2012 ◽  
Author(s):  
Takashi Kanamura
Keyword(s):  
Credit Risk ◽  
Market Risk ◽  
Commodity Markets ◽  
Futures Trading

Pairing Market Risk and Credit Risk

2011 ◽  
Author(s):  
Isabel Figuerola-Ferretti ◽  
Ioannis G. Paraskevopoulos
Keyword(s):  
Credit Risk ◽  
Market Risk

Part III Investment Banking, 12 The Trading Book

2018 ◽  
Author(s):  
Gleeson Simon
Keyword(s):  
Credit Risk ◽  
Investment Banking ◽  
Market Risk ◽  
Market Risks ◽  
Counterparty Credit Risk ◽  
Basel 3

This chapter begins by discussing market risk in the Basel framework. Market risk was a relative latecomer to the Basel framework. Although the original Accord was signed in 1988, it was only in 1996 that the amendment to incorporate market risks was implemented. Market risk in the trading book is comprised of two significant components: position risk, which measures the risk of a change in the value of assets held; and counterparty credit risk, which measures the riskiness of counterparties to derivatives, options, and other trading positions. The remainder of the chapter covers trading book eligibility under Basel 2.5 and Basel 3.

scholarly journals Relationship Between Risk Management Practices and Investment Decisions in Bank of Kigali, Rwanda

2020 ◽  
Vol 1 (1) ◽  
pp. 88-107
Author(s):  
Gedion Alang’o Omwono ◽  
Kayumba Annette
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Best Practice ◽  
Management Practices ◽  
Investment Decisions ◽  
Liquidity Risk ◽  
Market Risk ◽  
Risk Tolerance ◽  
Credit Risk Management ◽  
Risk Monitoring

The purpose of this study was to examine the relationship between risk management practices and investment decisions in Bank of Kigali, Rwanda. This study adopted correlational research design. Descriptive statistics include those of the mean, standard deviation and frequency distribution while inferential statistics involves use of spearman’s coefficient correlations. Linear regression was used where ANOVA was carried on each variable. The study found that there was a correlation between liquidity risk management, default risk management and market risk management with performance of the Banks. The study findings indicated that credit risk management (r=0.096, p<0.01), liquidity risk management (r=0.347, p<0.01), market risk management (r=0.506, p<0.01) and operational risk management (r=0.612, p<0.01) on financial performance. It however found that the Banks do not involve experts and consultants in market risk management thus recommendations were made for the Banks to revise their credit risk management policies, open up and share information with other players on market risk thus involve consultants more in their market risk management and to be more proactive than reactive in risk management. The study concluded that, risk management has a positive influence on the investment decisions and that risk monitoring can be used to make sure that risk management practices are in line with proper best practice risk monitoring policies which also helps bank management to discover exposures at early stages and make corrective actions. The study recommended that, Senior management should develop strategies, policies and practices to manage risk in accordance with the Banks risk tolerance and to ensure that the bank maintains sufficient liquidity risk cover.

scholarly journals Risiko Kredit, Risiko Pasar, Dan Kinerja Keuangan Perbankan Pada Masa Pandemi Covid-19

2021 ◽  
Vol 6 (2) ◽  
pp. 150-157
Author(s):  
Rini Dwi Astuti ◽  
Dewa Putra Krishna Mahardika
Keyword(s):  
Credit Risk ◽  
Financial Performance ◽  
Sampling Method ◽  
Banking Sector ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Market Risk ◽  
Industrial Sectors ◽  
Positive Effect

The Covid-19 pandemic began to spread in Indonesia in March 2020. This caused a number of industrial sectors in Indonesia to experience a decrease in financial performance. One of the sectors that experienced a decline in financial performance was the banking sector. This study has purpose to determine the effect of credit risk and market risk on financial performance in commercial banks registered on the Indonesia Stock Exchange in the first until fourth quarters of 2020. The samples in this study is 35 banks. The sample is obtained by purposive sampling method. The method of analysis in this study is multiple linear regression analysis. From the results of the study, simultaneously credit risk and market risk affect financial performance. credit risk negatively affects financial performance. while market risk has a positive effect on financial performance

scholarly journals Pengaruh risiko usaha terhadap rasio kecukupan modal inti (TIER 1) pada bank-bank kelompok buku 3 dan buku 4

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Adi Isa Ansori ◽  
Herizon Herizon
Keyword(s):  
Credit Risk ◽  
Liquidity Risk ◽  
Secondary Data ◽  
Operational Risk ◽  
Sampling Technique ◽  
Financial Statements ◽  
Market Risk ◽  
Linear Analysis ◽  
Tier 1 ◽  
Bank Group

This study tried to determine the effect of liquidity risk measured by LDR and IPR, Credit risk measured by APB and NPL, market risk measured by IRR and PDN, operational risk measured by BOPO, and FBIR both simultaneously or partially. On Core CAR (TIER 1) in Bank group of book 3 and book 4. The sample was selected using purposive sampling technique, consisting of five banks such as PT Bank Negara Indonesia, PT Bank Maybank Indonesia, PT Bank Tabungan Negara, PT Pan Indonesia Bank, and PT Bank Permata. The secondary data were taken from published financial statements starting from first quarter 2010 until second quarter 2015. They were collected by documentation method and analyzed using linear analysis. The result shows that, partially, LDR, IPR, NPL, PDN, BOPO and FBIR have significant effect on Core CAR (TIER 1). Simultaneously, LDR, IPR, APB, NPL, IRR, PDN, BOPO, and FBIR, as represented by liquidity risk, credit risk, market risk, and operational risk partially have significant effect on Core CAR (TIER 1) in Bank group of book 3 and book 4.

scholarly journals THE ROLE OF FORWARD MARKETS COMMISSION IN INDIAN COMMODITY MARKETS

2015 ◽  
Vol 3 (11) ◽  
pp. 87-105
Author(s):  
Shree Bhagwat ◽  
Angad Singh Maravi
Keyword(s):  
Commodity Markets ◽  
Commodity Futures ◽  
Commodity Market ◽  
Futures Trading ◽  
Forward Markets ◽  
Agriculture Sector ◽  
Risk Management Process ◽  
Current Scenario ◽  
Commodity Derivatives

This paper examines the role of Forward Markets Commission (FMC) in Indian Commodity Markets. The Results show important developments of Forward Markets Commission. Commodity futures and derivatives have a crucial role to play in the price risk management process, especially in agriculture sector. The significance of commodity derivatives has increased in the current scenario. India has long history of trade in commodity derivatives. Organized commodity derivatives in India started as early as 1875, barely about a decade after they started in Chicago. Since 2003, when commodity futures’ trading was permitted, commodity futures market in India has experienced an unprecedented boom in terms of the number of modern exchanges, number of commodities allowed for derivatives trading as well as the value of futures trading in commodities. There are 6 national and 16 regional commodity exchanges recognized and regulated by the FMC. Different types of commodities such as agricultural; bullion, plantation, energy etc. is traded on commodity exchanges in the country. So considering these points an attempt has been made to know the regulatory framework of commodity futures and derivatives market in India and various developments in Indian commodity market and commodity exchanges. This study is an attempt to investigate the performance of Forward Markets Commission in India and its role in Indian commodity market.

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