Portfolio Risk Mitigation without Bonds

2022 ◽  
pp. jpm.2022.1.329
Author(s):  
Michael Stamos
Keyword(s):  
Risk Mitigation ◽  
Portfolio Risk

Portfolio Risk Mitigation

2011 ◽  
Vol 2 (1) ◽  
pp. 87-94
Author(s):  
Jim Pritchard
Keyword(s):  
Risk Mitigation ◽  
Portfolio Risk

Risk Management on Information Security in ABC Company

2017 ◽  
Vol 4 (1) ◽  
pp. 62-66
Author(s):  
Luyen Ha Nam
Keyword(s):  
Risk Management ◽  
Information Security ◽  
Data Management ◽  
Management System ◽  
Risk Mitigation ◽  
Data Management System ◽  
Data Centre ◽  
Long Time ◽  
Mitigation Action ◽  
Better Than

From long, long time ago until nowadays information still takes a serious position for all aspect of life, fromindividual to organization. In ABC company information is somewhat very sensitive, very important. But how wekeep our information safe, well we have many ways to do that: in hard drive, removable disc etc. with otherorganizations they even have data centre to save their information. The objective of information security is to keep information safe from unwanted access. We applied Risk Mitigation Action framework on our data management system and after several months we have a result far better than before we use it: information more secure, quickly detect incidents, improve internal and external collaboration etc.

Issues on Interbank Commodity Murabaha (CM) for Liquidity Management in Malaysia

2020 ◽  
Vol 8 (2) ◽  
pp. 9
Author(s):  
Mohamad Zabidi Bin Ahmad ◽  
Rosylin Mohd. Yusof ◽  
Ahmad Rizal Mazlan
Keyword(s):  
Risk Mitigation ◽  
Banking System ◽  
Islamic Banks ◽  
Liquidity Management ◽  
Standard Guideline ◽  
Growth Area ◽  
Islamic Financial Institutions ◽  
Enhance Efficiency ◽  
Analyze Structure ◽  
Operational Issues

Purpose: The objective of this research is to highlight issues and review the Interbank Commodity Murabahah (CM) practice as a tool of liquidity requirement from both the Shariah and industry’s operational perspectives. Accordingly, this study seeks to analyze structure and mechanism of CM as instrument to meet the liquidity need of the Islamic financial institutions and provides an opportunity for investments. In doing so, the paper seeks to review issues related to Shariah and operations in Islamic banking. Design/methodology/approach: By conducting interview with Treasurers, Shariah Scholars and funding dealers of Islamic banks in Malaysia, the study evaluates reassessment on CM practices and operational issues in relation risk and compliance. The study focuses on Islamic Treasury Division of Islamic banks in Malaysia. Findings: The findings of the study suggest that the two most significant issues in Islamic liquidity management of Islamic banks in Malaysia are i) resembling interest ii) nature of tradability iii) structure of CM iv) the timing the transaction to be completed and v) the real brokerage cost involved in adopting the CM transactions. Research limitations/implications: The research proposes a risk mitigation and enhanced Shariah compliance framework such as strait through processing (STP) and commodity broker’s standard guideline for Islamic banks to adopt CM practices. Practical implications: This study provides direction and guidance to the Islamic Commercial Banks, Commodity Brokers and regulator (BNM) involved in the banking system to reflect upon the importance to understand the issues and limitation of CM. By highlighting the importance of efficiency in terms of time and cost saving together with Shariah issues, Islamic banks can design policies to enhance efficiency in order to either decide to maintain the adoption of CMP or to consider the proposed alternative. Social implications:Understanding the Shariah compliance and operational issues will enhance the integrity of Islamic banks which is consistent with Key Economic Growth Area of making Malaysia as International Islamic Financial Hub 2.0.

Managing Portfolio Risk with Credit Derivatives

2005 ◽  
Vol 2005 (1) ◽  
pp. 78-84
Author(s):  
Marc P. Seidner
Keyword(s):  
Credit Derivatives ◽  
Portfolio Risk

Rethinking Portfolio Risk in Asset Management

CFA Digest ◽  
2013 ◽  
Vol 43 (2) ◽  
pp. 138-139
Author(s):  
Vipul K. Bansal
Keyword(s):  
Asset Management ◽  
Portfolio Risk

Summary of Shuttle-MIR risk mitigation experiments contamination/optical observations

2001 ◽  
Author(s):  
John Alred ◽  
James Visentine ◽  
Keith Albyn
Keyword(s):  
Risk Mitigation ◽  
Optical Observations

ANALISIS PORTOFOLIO INVESTASI PADA SAHAM LQ45 DENGAN METODE MEAN VARIAN SATU KONSTRAIN

Jurnal Varian ◽  
2018 ◽  
Vol 1 (2) ◽  
pp. 22-29
Author(s):  
Gilang Primajati
Keyword(s):  
Capital Markets ◽  
Minimum Variance ◽  
Return Rate ◽  
Optimal Portfolio ◽  
Portfolio Diversification ◽  
Portfolio Risk ◽  
Expected Return ◽  
Positive Weight ◽  
The Mean

In the capital markets, especially the investment market, the establishment of a portfolio is something that must be understood by investors. Portfolio formation by investors to maximize profits as much as possible by minimizing the risk of losses that may occur. Portfolio diversification is defined as portfolio formation in such a way that it can reduce portfolio risk without sacrificing returns. Optimal portfolio with efficient-portfolio mean criteria, investors only invest in risk assets only. Investors do not include risk free assets in their portfolios. The efficient variance portfolio is defined as a portfolio that has minimum variance among the overall possible portfolio that can be formed, at the same expected return rate. The mean method of one constraint variant can be used as the basis for optimal portfolio determination. The shares of LQ-45 used are shares of AALI, BBCA, UNVR, TLKM and ADHI. AALI shares received a positive weight of 7%, BBCA 48%, UNVR 16%, TLKM 26% and ADHI 3%

ANALISIS PORTOFOLIO OPTIMAL DENGAN MENGGUNAKAN MODEL INDEKS TUNGGAL PADA SAHAM IDX BUMN20 DI BURSA EFEK INDONESIA JANUARI 2018-JANUARI 2019

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Mochamad Andik Firmansyah
Keyword(s):  
Stock Exchange ◽  
Optimal Portfolio ◽  
Rate Of Return ◽  
Portfolio Risk ◽  
Expected Return ◽  
Purposive Sampling ◽  
Single Index ◽  
Index Model ◽  
Market Return ◽  
Single Index Model

Penelitian ini bertujuan untuk menentukan level of expected return dan the best risk of optimal portfolio  formation dengan menggunakan Single Index Model pada saham IDX BUMN 20 yang tercatat di Indonesia Stock Exchange dari bulan Januari 2018 sampai January 2019. Saham IDX BUMN 20 yang tercatat di Indonesia Stock Exchange dengan populasi sebanyak 20 perusahaan. Dengan menggunakan populasi sebesar 20 perusahaan maka peneliti menggunakan purposive sampling, dan ternyata hanya 18 perusahaan saja yang ditemukan memenuhi kriteria penelitian ini. Penelitian ini juga menggunakan metode Kuantitatif Deskriptif. Analisa data pada penelitian ini untuk menentukan saham-saham mana saja yang termasuk the optimal portfolio, dan juga the level of proportion of 1 funds yang termasuk juga dalam kategori the optimal portfolio dan the level of expected return serta the best risk of the optimal portfolio yang terbentuk dengan menggunakan Single Index Model. Hasil dari penelitian ini menunjukan bahwa terdapat 5 perusahaan dengan kategori the optimal portfolio dari 18 sampel perusahaan pada saham IDX BUMN 20 dengan tingkat tertinggi dari level of proportion of 1 funds ditemukan pada PTBA share sat 1.89333 or 189,333%, di lain pihak dengan tingkat terendah adalah pada TLKM shares at -2.13488 or -213.488% yang berarti bahwa saham TLKM adalah negatif dan harus dijual dalam jangka waktu pendek sebesar 213,488% dari dana yang dimiliki oleh para inventor dan menghasilkan rate of return yang diharapkan dari formasi optimal portfolio sebesar 0.17583 or 17.583% lebih tinggi dari yang diharapkan oleh market return sebesar 0.00264 or 0.264% dan memiliki tingkat portfolio risk borne sebesar 0.10384 or 10,384%, lebih kecil dari the risk of market sebesar 0.03367 or 3,367% dan beta market sebesar 1.Kata Kunci : Portfolio, Optimal Portfolio, Single Index Model.

Analysis of credit portfolio risk using hierarchical multifactor models

2014 ◽  
Vol 10 (4) ◽  
pp. 45-70 ◽  
Author(s):  
Pak-Wing Fok ◽  
Xiuling Yan ◽  
Guangming Yao
Keyword(s):  
Portfolio Risk ◽  
Multifactor Models ◽  
Credit Portfolio
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