Numerous new financial products are created by bundling mortgages, credit card dues etc. They are tranched to create sub products with varying risks and rewards. The financial crisis of 2007-08 owes its origin to these products.
This document discusses different types of regulatory credit exposures under the Basel III framework, including debt exposures, securitization exposures, and specialized lending. It provides details on various types of debt exposures such as loans, bonds, credit lines, and credit derivatives. It defines securitization exposures as financial instruments constructed through credit structuring using underlying debt portfolios or combinations of credit default swaps and high quality assets. The document also briefly outlines capital charge calculation requirements for securitization exposures under Basel III.
Mortgage-backed securities (MBS) represent claims on cash flows from pools of mortgages. Collateralized mortgage obligations (CMOs) are financial instruments backed by MBS or actual mortgages, which are then divided into tranches that receive principal payments according to a set structure. While MBS cash flows are distributed pro rata, CMOs allocate payments to provide different risk profiles appealing to various investors. Risks for these securities include credit risk, interest rate exposure, and early redemption risk.
Collateralized Debt Obligations Presentation Final Version!James_A_McDaniel
This document provides an overview of collateralized debt obligations (CDOs) focused on commercial real estate. It discusses the taxonomy and anatomy of CDOs, including the types of assets they contain, their capital structure, and the parties involved such as issuers, investors, and rating agencies. It also describes the evolution of CDO collateral over time from assets like REIT debt and CMBS to include riskier products like whole loans, B-notes, and mezzanine loans.
CLO is a loan fund that uses investors’ money to buy business loans. These loans are largely to the companies that have a lower than investment grade rating (BB+ or lower).
https://efinancemanagement.com/derivatives/clo-vs-cdo
A collateralized debt obligation (CDO) pools together cash-generating assets like mortgages, bonds, and loans, and repackages them into tranches of varying risk levels that are sold to investors. The senior tranches have first claim on collateral in the event of default, making them safer with lower yields, while junior tranches offer higher yields to compensate for their higher risk. CDOs grew rapidly in the 2000s as a way to distribute risk, with global issuance peaking at $503 billion in 2007, though the market declined after the 2008 financial crisis.
Mortgage backed securities (MBS) are asset-backed securities representing claims on the cash flows from pools of mortgage loans. MBS are created through a process called securitization where mortgages are pooled together and tranched into different risk levels. This allows risk to be transferred and spread across various tranches, generating rated securities from unrated assets. The main types of MBS include pass-through securities for residential and commercial loans, as well as collateralized mortgage obligations.
Mortgage-backed securities (MBS) are created when mortgages are pooled together and sold as securities. There are two main types of MBS: mortgage pass-through securities, where payments are passed through to investors, and mortgage-backed derivatives like CMOs that create multiple classes of securities. Government agencies like Fannie Mae and Freddie Mac purchase mortgages from lenders and pool them to issue MBS to expand the secondary mortgage market. Yields on MBS can be calculated in different ways, such as monthly cash flow yield based on interest and principal payments, or bond equivalent yield which compares the yield to a bond of similar maturity.
This document discusses homogeneous debt portfolios. A homogeneous portfolio contains at least 30 debts with identical exposure amounts, loss given default rates, probability of default rates, and default dependency among borrowers. Treating all risks as maturing after one year, a homogeneous portfolio allows for an analytical approach to calculating credit risk that incorporates diversification effects from lending to multiple borrowers. The portfolio one-year expected loss, which simply sums individual debt expected losses, does not account for diversification benefits of a multi-debt portfolio.
This document discusses different types of regulatory credit exposures under the Basel III framework, including debt exposures, securitization exposures, and specialized lending. It provides details on various types of debt exposures such as loans, bonds, credit lines, and credit derivatives. It defines securitization exposures as financial instruments constructed through credit structuring using underlying debt portfolios or combinations of credit default swaps and high quality assets. The document also briefly outlines capital charge calculation requirements for securitization exposures under Basel III.
Mortgage-backed securities (MBS) represent claims on cash flows from pools of mortgages. Collateralized mortgage obligations (CMOs) are financial instruments backed by MBS or actual mortgages, which are then divided into tranches that receive principal payments according to a set structure. While MBS cash flows are distributed pro rata, CMOs allocate payments to provide different risk profiles appealing to various investors. Risks for these securities include credit risk, interest rate exposure, and early redemption risk.
Collateralized Debt Obligations Presentation Final Version!James_A_McDaniel
This document provides an overview of collateralized debt obligations (CDOs) focused on commercial real estate. It discusses the taxonomy and anatomy of CDOs, including the types of assets they contain, their capital structure, and the parties involved such as issuers, investors, and rating agencies. It also describes the evolution of CDO collateral over time from assets like REIT debt and CMBS to include riskier products like whole loans, B-notes, and mezzanine loans.
CLO is a loan fund that uses investors’ money to buy business loans. These loans are largely to the companies that have a lower than investment grade rating (BB+ or lower).
https://efinancemanagement.com/derivatives/clo-vs-cdo
A collateralized debt obligation (CDO) pools together cash-generating assets like mortgages, bonds, and loans, and repackages them into tranches of varying risk levels that are sold to investors. The senior tranches have first claim on collateral in the event of default, making them safer with lower yields, while junior tranches offer higher yields to compensate for their higher risk. CDOs grew rapidly in the 2000s as a way to distribute risk, with global issuance peaking at $503 billion in 2007, though the market declined after the 2008 financial crisis.
Mortgage backed securities (MBS) are asset-backed securities representing claims on the cash flows from pools of mortgage loans. MBS are created through a process called securitization where mortgages are pooled together and tranched into different risk levels. This allows risk to be transferred and spread across various tranches, generating rated securities from unrated assets. The main types of MBS include pass-through securities for residential and commercial loans, as well as collateralized mortgage obligations.
Mortgage-backed securities (MBS) are created when mortgages are pooled together and sold as securities. There are two main types of MBS: mortgage pass-through securities, where payments are passed through to investors, and mortgage-backed derivatives like CMOs that create multiple classes of securities. Government agencies like Fannie Mae and Freddie Mac purchase mortgages from lenders and pool them to issue MBS to expand the secondary mortgage market. Yields on MBS can be calculated in different ways, such as monthly cash flow yield based on interest and principal payments, or bond equivalent yield which compares the yield to a bond of similar maturity.
This document discusses homogeneous debt portfolios. A homogeneous portfolio contains at least 30 debts with identical exposure amounts, loss given default rates, probability of default rates, and default dependency among borrowers. Treating all risks as maturing after one year, a homogeneous portfolio allows for an analytical approach to calculating credit risk that incorporates diversification effects from lending to multiple borrowers. The portfolio one-year expected loss, which simply sums individual debt expected losses, does not account for diversification benefits of a multi-debt portfolio.
This document discusses the basics of synthetic CDOs including: how they transfer credit risk from an originator to investors through an SPV without actual asset transfer; the difference between cash and synthetic CDO structures; typical synthetic CDO structures using credit default swaps; and types of synthetic CDOs such as unfunded, funded, and partially funded. It also covers motivation for synthetic CDOs, risk factors associated, and how ratings agencies model and analyze synthetic CDOs.
Structured financial products are created through the securitization of assets like mortgages and other loans. Mortgages are pooled together and interests in the cash flows from the pool are sold to investors in the form of mortgage-backed securities. Securitization allows originators to convert illiquid mortgages into tradable securities, replenish funds for further lending, and remove assets from their balance sheets. Common types of mortgage-backed securities include mortgage passthrough securities and collateralized mortgage obligations, which divide the cash flows from mortgage pools into different classes or tranches.
Structured finance is a sector that transfers risk using complex legal entities like securitization and tranching. Securitization pools debt instruments and issues new securities backed by the pool, while tranching splits securities into different risk levels. Mortgage-backed securities represent claims on cash flows from mortgage loans. Collateralized mortgage obligations (CMOs) issue bonds backed by mortgages and use tranching to create bonds of varying risk levels, like sequential or parallel tranching. The subprime mortgage crisis originated in the late 1990s and became apparent in 2007, caused by risky lending practices and the shadow banking system's involvement in securitization.
The document provides an overview of securitization and the mortgage-backed securities market. It discusses how companies fund projects through equity and debt, and introduces securitization as a way to pool similar mortgage loans and issue securities backed by the pooled loans. It then covers the basics of fixed income markets, how mortgage payments are calculated, the process of issuing agency-conforming and non-conforming mortgage-backed securities, and the major investors in the MBS market like pension funds, insurance companies, and GSEs.
This document discusses collateralized debt obligations (CDOs), which are securities backed by a pool of debt obligations such as loans, bonds, and other assets. CDOs issue multiple tranches (layers) of securities with varying levels of risk and return, including senior, mezzanine, and equity tranches. CDOs provide advantages such as allowing investors to customize their credit risk exposure and take on diversified credit risk. However, CDO pricing relies on rating agencies' default probabilities, which may not accurately reflect the underlying risks. Expenses also reduce returns to investors. CDOs have become a large and fast-growing sector in asset-backed securities markets globally.
This document discusses collateralized debt obligations (CDOs), which are securities backed by a pool of debt obligations such as loans, bonds, and other assets. CDOs issue multiple tranches (layers) of securities with varying levels of risk and return, including senior, mezzanine, and equity tranches. CDOs provide advantages such as allowing investors to customize their credit risk exposure and take on diversified credit risk. However, CDO pricing relies on rating agencies' default probabilities, which may not accurately reflect the underlying risks. Expenses also reduce returns to investors. CDOs have become a large and fast-growing sector in asset-backed securities markets globally.
The document provides an overview of credit default swaps (CDS). It defines a CDS as a contract where the protection buyer makes periodic payments to the protection seller in exchange for a payout if a loan defaults. The document outlines the key parties in a CDS deal including the protection buyer, protection seller, and reference entity. It provides an example of how CDS can protect a bank if the company it loaned money to defaults. Overall, the document summarizes what a CDS is, how it works, and some of the risks involved.
Bonds, preferred stocks and common stocksSalman Irshad
The document discusses various types of bonds, preferred stocks, and common stocks. It begins by defining basic bond terms like principal amount, coupon rate, maturity date, and bond ratings. It then describes different types of bonds such as secured bonds (mortgage, equipment trust), unsecured bonds (debentures, subordinated), and bonds classified by coupon payments (zero coupon, fixed-rate, floating-rate) or issuer (government, municipal, corporate). The document also discusses bond retirement methods like sinking funds, serial bonds, and call provisions.
This document discusses sources of current liabilities for businesses, including accounts payable and accruals which arise from normal business operations. It also discusses strategies for managing accounts payable, such as taking advantage of cash discounts and stretching payment terms. The document outlines various sources of short-term financing including bank loans, lines of credit, commercial paper, and secured loans using accounts receivable or inventory as collateral.
This document discusses loan sales and securitization. It defines loan sales and the different types of loan sale contracts like participations and assignments. It also discusses the various buyers and sellers of loans. The document then discusses securitization, defining it as packaging and selling loans and other assets backed by securities. It provides examples of different types of securitizations like pass-through securities, collateralized mortgage obligations (CMOs), and mortgage-backed bonds (MBBs). It provides examples to illustrate how these different securitization structures work.
This document discusses pricing models for collateralized debt obligations (CDOs), which are financial instruments backed by pools of assets such as loans, bonds, and mortgages. It focuses on implementing the Gaussian and Student's t copula models to value CDO tranches using Monte Carlo simulation. The Gaussian copula cannot account for joint extreme events, while the Student's t copula can model heavier tails by varying its degrees of freedom parameter. The document generates pricing surfaces for different CDO tranches under each copula to analyze their effects and suitability for modeling CDOs under different economic conditions.
This document discusses credit default swaps (CDS). A CDS is an agreement where the buyer makes periodic payments to the seller, who agrees to make a payment to the buyer if a loan defaults. CDS can be used to hedge against default risk or speculate on credit risk. They allow entities to transfer default risk to investors willing to bear it. The document outlines the terms of CDS agreements, how they are used for hedging versus speculation, and provides examples of each.
A single name credit default swap (CDS) provides default insurance for an investor's holdings of a reference debt. The protection buyer makes regular premium payments to the protection seller and receives compensation equal to the loss on the reference debt if it defaults. A portfolio with a reference debt and its corresponding single name CDS is similar to a risk-free security. The short position of a single name CDS is equivalent to being long the reference debt and short a risk-free security. Single name CDSs are the simplest credit instruments and serve as building blocks for other derivatives.
From simple corporate bonds, and government securities to derivatives, credit default swaps, and mortgaged back securities this seminar from Saunders Learning Group covers all of the details of fixed income investing. Contact at us 316-680-6482 or floyd@floydsaunders.com to arrange a seminar today.
How Resilient are MBS to CDO Market Disruptionsfinancedude
The document discusses the link between collateralized debt obligations (CDOs) and the primary mortgage-backed securities (MBS) market. It explains that CDOs were large purchasers of junior MBS tranches, providing funding that supported over $1 trillion in MBS issuance. If CDOs withdraw from this market, it could severely restrict funding for new home loans. The document recommends tighter regulation and disclosure to address risks and protect certain investors from high-risk mortgage products and securities.
Long-term debt consists of loans and financial obligations lasting over one year. Long-term debt for a company would include any financing or leasing obligations that are to come due in a greater than 12-month period. Long-term debt also applies to governments
Commercial papers and certificates of deposit are short-term unsecured money market instruments issued by corporations and banks respectively. Commercial papers are issued in the form of promissory notes by highly rated corporates and financial institutions with a maturity period between 7 days to 1 year. Certificates of deposit are issued by banks for fixed terms like 3 months, 6 months or 1-5 years with fixed interest rates and penalties for early withdrawal. Both instruments provide low-risk investment options for investors.
- First American Bank is considering using a credit default swap to help mitigate Charles Bank International's credit risk in providing a $50 million loan to CapEx Unlimited, a telecommunications company.
- Through the CDS, CBI would make periodic fee payments to First American Bank in exchange for credit protection on the loan to CapEx. This would transfer some of the credit risk from CBI to First American Bank.
- There are various ways to calculate the appropriate spread for the CDS, including using historical default data or bond prices of comparable companies. The estimated spread would likely be between 1.3-5.5%.
A shadow banking system is a group of financial intermediaries facilitating the creation of credit across the global financial system but whose members are not subject to regulatory oversight. The shadow banking system also refers to unregulated activities by regulated institutions.
This paper gives a detail overview of Certificate of Deposit (CD) starting with a full definition and explanation of the meaning of a CD and how it works. The paper further discussed in detail the various types of CDs, “the CD Ladder strategy” that is the strategies CDs used, the advantages and disadvantages of a CD and at its concluding stage, the paper also discussed criticisms that are made on CDs.
The issues of Income Inequality, urban migration and rural urban divide are interlinked. Dr.Abdul Kalam and Dr.P.V. Indiresan presented the PURA model to address these issues. A concerted and focused effort is needed to deliver success of the PURA Model in select geographies. It can serve as a Proof of concept for subsequent scaling up across the nation.
Intelligent and Smart Systems define the cutting edge of information technology now. They are invisible yet ubiquitous. From identifying individual student’s lack of attention to suggesting remedial measures, from predicting financial failures to preventing future fraud, and from assisting noninvasive surgery to guiding missiles to moving targets, the Artificial Intelligence based applications are stepping into every domain.
Numerous concerns have emerged in parallel. Should they be permitted to run a completely human less system? Can they be assigned all cognitive non routine tasks that humans are good at? Are they effective communicators and consensus builders? What role should they play in decision making? How good are they in picking up data compared to human senses? These and many other questions have surfaced in many fora.
Data used in model building adds another dimension. How unbiased are the data sets used in training? Can a data set be ever unbiased? What are the consequences of data bias in models and algorithms?
This talk explores the issues of setting the boundary for use of AI technology. Areas of concern are delineated, and principles of restraint advocated. It aims to inspire researchers to keep the boundary in mind as they explore new frontiers in AI and to design stable boundary line interfaces.
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Similar to Derivatives in global financial supply chains
This document discusses the basics of synthetic CDOs including: how they transfer credit risk from an originator to investors through an SPV without actual asset transfer; the difference between cash and synthetic CDO structures; typical synthetic CDO structures using credit default swaps; and types of synthetic CDOs such as unfunded, funded, and partially funded. It also covers motivation for synthetic CDOs, risk factors associated, and how ratings agencies model and analyze synthetic CDOs.
Structured financial products are created through the securitization of assets like mortgages and other loans. Mortgages are pooled together and interests in the cash flows from the pool are sold to investors in the form of mortgage-backed securities. Securitization allows originators to convert illiquid mortgages into tradable securities, replenish funds for further lending, and remove assets from their balance sheets. Common types of mortgage-backed securities include mortgage passthrough securities and collateralized mortgage obligations, which divide the cash flows from mortgage pools into different classes or tranches.
Structured finance is a sector that transfers risk using complex legal entities like securitization and tranching. Securitization pools debt instruments and issues new securities backed by the pool, while tranching splits securities into different risk levels. Mortgage-backed securities represent claims on cash flows from mortgage loans. Collateralized mortgage obligations (CMOs) issue bonds backed by mortgages and use tranching to create bonds of varying risk levels, like sequential or parallel tranching. The subprime mortgage crisis originated in the late 1990s and became apparent in 2007, caused by risky lending practices and the shadow banking system's involvement in securitization.
The document provides an overview of securitization and the mortgage-backed securities market. It discusses how companies fund projects through equity and debt, and introduces securitization as a way to pool similar mortgage loans and issue securities backed by the pooled loans. It then covers the basics of fixed income markets, how mortgage payments are calculated, the process of issuing agency-conforming and non-conforming mortgage-backed securities, and the major investors in the MBS market like pension funds, insurance companies, and GSEs.
This document discusses collateralized debt obligations (CDOs), which are securities backed by a pool of debt obligations such as loans, bonds, and other assets. CDOs issue multiple tranches (layers) of securities with varying levels of risk and return, including senior, mezzanine, and equity tranches. CDOs provide advantages such as allowing investors to customize their credit risk exposure and take on diversified credit risk. However, CDO pricing relies on rating agencies' default probabilities, which may not accurately reflect the underlying risks. Expenses also reduce returns to investors. CDOs have become a large and fast-growing sector in asset-backed securities markets globally.
This document discusses collateralized debt obligations (CDOs), which are securities backed by a pool of debt obligations such as loans, bonds, and other assets. CDOs issue multiple tranches (layers) of securities with varying levels of risk and return, including senior, mezzanine, and equity tranches. CDOs provide advantages such as allowing investors to customize their credit risk exposure and take on diversified credit risk. However, CDO pricing relies on rating agencies' default probabilities, which may not accurately reflect the underlying risks. Expenses also reduce returns to investors. CDOs have become a large and fast-growing sector in asset-backed securities markets globally.
The document provides an overview of credit default swaps (CDS). It defines a CDS as a contract where the protection buyer makes periodic payments to the protection seller in exchange for a payout if a loan defaults. The document outlines the key parties in a CDS deal including the protection buyer, protection seller, and reference entity. It provides an example of how CDS can protect a bank if the company it loaned money to defaults. Overall, the document summarizes what a CDS is, how it works, and some of the risks involved.
Bonds, preferred stocks and common stocksSalman Irshad
The document discusses various types of bonds, preferred stocks, and common stocks. It begins by defining basic bond terms like principal amount, coupon rate, maturity date, and bond ratings. It then describes different types of bonds such as secured bonds (mortgage, equipment trust), unsecured bonds (debentures, subordinated), and bonds classified by coupon payments (zero coupon, fixed-rate, floating-rate) or issuer (government, municipal, corporate). The document also discusses bond retirement methods like sinking funds, serial bonds, and call provisions.
This document discusses sources of current liabilities for businesses, including accounts payable and accruals which arise from normal business operations. It also discusses strategies for managing accounts payable, such as taking advantage of cash discounts and stretching payment terms. The document outlines various sources of short-term financing including bank loans, lines of credit, commercial paper, and secured loans using accounts receivable or inventory as collateral.
This document discusses loan sales and securitization. It defines loan sales and the different types of loan sale contracts like participations and assignments. It also discusses the various buyers and sellers of loans. The document then discusses securitization, defining it as packaging and selling loans and other assets backed by securities. It provides examples of different types of securitizations like pass-through securities, collateralized mortgage obligations (CMOs), and mortgage-backed bonds (MBBs). It provides examples to illustrate how these different securitization structures work.
This document discusses pricing models for collateralized debt obligations (CDOs), which are financial instruments backed by pools of assets such as loans, bonds, and mortgages. It focuses on implementing the Gaussian and Student's t copula models to value CDO tranches using Monte Carlo simulation. The Gaussian copula cannot account for joint extreme events, while the Student's t copula can model heavier tails by varying its degrees of freedom parameter. The document generates pricing surfaces for different CDO tranches under each copula to analyze their effects and suitability for modeling CDOs under different economic conditions.
This document discusses credit default swaps (CDS). A CDS is an agreement where the buyer makes periodic payments to the seller, who agrees to make a payment to the buyer if a loan defaults. CDS can be used to hedge against default risk or speculate on credit risk. They allow entities to transfer default risk to investors willing to bear it. The document outlines the terms of CDS agreements, how they are used for hedging versus speculation, and provides examples of each.
A single name credit default swap (CDS) provides default insurance for an investor's holdings of a reference debt. The protection buyer makes regular premium payments to the protection seller and receives compensation equal to the loss on the reference debt if it defaults. A portfolio with a reference debt and its corresponding single name CDS is similar to a risk-free security. The short position of a single name CDS is equivalent to being long the reference debt and short a risk-free security. Single name CDSs are the simplest credit instruments and serve as building blocks for other derivatives.
From simple corporate bonds, and government securities to derivatives, credit default swaps, and mortgaged back securities this seminar from Saunders Learning Group covers all of the details of fixed income investing. Contact at us 316-680-6482 or floyd@floydsaunders.com to arrange a seminar today.
How Resilient are MBS to CDO Market Disruptionsfinancedude
The document discusses the link between collateralized debt obligations (CDOs) and the primary mortgage-backed securities (MBS) market. It explains that CDOs were large purchasers of junior MBS tranches, providing funding that supported over $1 trillion in MBS issuance. If CDOs withdraw from this market, it could severely restrict funding for new home loans. The document recommends tighter regulation and disclosure to address risks and protect certain investors from high-risk mortgage products and securities.
Long-term debt consists of loans and financial obligations lasting over one year. Long-term debt for a company would include any financing or leasing obligations that are to come due in a greater than 12-month period. Long-term debt also applies to governments
Commercial papers and certificates of deposit are short-term unsecured money market instruments issued by corporations and banks respectively. Commercial papers are issued in the form of promissory notes by highly rated corporates and financial institutions with a maturity period between 7 days to 1 year. Certificates of deposit are issued by banks for fixed terms like 3 months, 6 months or 1-5 years with fixed interest rates and penalties for early withdrawal. Both instruments provide low-risk investment options for investors.
- First American Bank is considering using a credit default swap to help mitigate Charles Bank International's credit risk in providing a $50 million loan to CapEx Unlimited, a telecommunications company.
- Through the CDS, CBI would make periodic fee payments to First American Bank in exchange for credit protection on the loan to CapEx. This would transfer some of the credit risk from CBI to First American Bank.
- There are various ways to calculate the appropriate spread for the CDS, including using historical default data or bond prices of comparable companies. The estimated spread would likely be between 1.3-5.5%.
A shadow banking system is a group of financial intermediaries facilitating the creation of credit across the global financial system but whose members are not subject to regulatory oversight. The shadow banking system also refers to unregulated activities by regulated institutions.
This paper gives a detail overview of Certificate of Deposit (CD) starting with a full definition and explanation of the meaning of a CD and how it works. The paper further discussed in detail the various types of CDs, “the CD Ladder strategy” that is the strategies CDs used, the advantages and disadvantages of a CD and at its concluding stage, the paper also discussed criticisms that are made on CDs.
Similar to Derivatives in global financial supply chains (20)
The issues of Income Inequality, urban migration and rural urban divide are interlinked. Dr.Abdul Kalam and Dr.P.V. Indiresan presented the PURA model to address these issues. A concerted and focused effort is needed to deliver success of the PURA Model in select geographies. It can serve as a Proof of concept for subsequent scaling up across the nation.
Intelligent and Smart Systems define the cutting edge of information technology now. They are invisible yet ubiquitous. From identifying individual student’s lack of attention to suggesting remedial measures, from predicting financial failures to preventing future fraud, and from assisting noninvasive surgery to guiding missiles to moving targets, the Artificial Intelligence based applications are stepping into every domain.
Numerous concerns have emerged in parallel. Should they be permitted to run a completely human less system? Can they be assigned all cognitive non routine tasks that humans are good at? Are they effective communicators and consensus builders? What role should they play in decision making? How good are they in picking up data compared to human senses? These and many other questions have surfaced in many fora.
Data used in model building adds another dimension. How unbiased are the data sets used in training? Can a data set be ever unbiased? What are the consequences of data bias in models and algorithms?
This talk explores the issues of setting the boundary for use of AI technology. Areas of concern are delineated, and principles of restraint advocated. It aims to inspire researchers to keep the boundary in mind as they explore new frontiers in AI and to design stable boundary line interfaces.
Values and Beliefs are specific to each culture and their impact on decision choice and decision processes differ from one country to another. This presentation explores various dimensions of this issue and and illustrates how Cultural Factors can be addressed in System Design through examples.
An integrating framework that reconciles the gaps of supply and demand side initiatives and fuses together numerous GOI programs is the need of the hour. Model of such a framework is proposed here.
( Tasc One members are Parasuram Balasubramanian, Padmanabhan Jayasimha, T.R. Sankaranarayanan and Hariharan Shankar. All are alumni of IIT Madras)
An abridged version of this article was published in "Report: IITMAA Sangam 2019 - Reimagining India in 2030"
This document summarizes a presentation on disruptive digital innovations for responsive and sustainable global supply chain management. The presentation discusses four disruptive models: inventory information sharing systems between competitors to reduce stockouts; smart systems that allow product customization and remote upgrades; demand sensing using machine learning to improve short-term forecasts; and digital twins to continuously evaluate and optimize supply chain networks through simulation. The models aim to help supply chains sense demand shifts quickly and fulfill needs through altered processes, improving responsiveness in volatile markets.
Graduating students are endowed with two Oars to navigate their way through the ocean of life. First one is about learning to learn. Second oar is the attitude and belief they carry. Through numerous examples from my life and from that of well known people I convey the thought that they need to use these two oars to move through turbulent waters. The students are also advised to grab the career opportunities through technologies known as SMAC and embark on a journey of self discovery.
The document proposes modeling the global financial crisis using a supply chain management approach. It outlines a four-layer model to show flows between countries, industries, firms, and customer segments. The model would explore flows of obligations and commitments in addition to goods, funds, and information. This would help analyze how vulnerabilities spread from the subprime mortgage crisis to the broader financial system and global economy.
No two projects are alike in converting a technical innovation to a market facing solution. Hence the road map for a given invention has to be custom designed. Yet basic concepts are common and we can learn to build the road map through case studies. One such study on urethral strictures is presented here.
Information sharing is a major challenge in SCM due to the geographical spread of partners and monumental paper work involved across countries and regions. Digitisation impacts the flow of goods, funds and information. It is at the threshold of introducing the Smart Factory where all flows are automated. How relevant are these technologies for India? What can be the Smart Approach for India in sequencing the adoption of these technologies? We present a suggested approach here.
Supply Chain Management has evolved over time with frequent inputs from strategic innovations, technology changes and connectivity paradigms. It will continue to be so in coming decades when IIoT, Machine Learning , 3D Printing and Blockchain technologies mature. As the market place moves towards mass customising SCM professionals need to adopt more and more of Gray thinking rather than the conventional black or white approach.
AI and its allied technolgies present an exciting scenario of job changes in coming decades. So are the concerns about loss of traditional jobs. What would be the net impact? We explore the economic models and concepts that allay unfound fears; yet warn us to be ready for constant changes and need for continuous skill rebuilding.
Soft skills such as Empathy, Assertiveness,Proactiveness, Passion and Ability to construct win win solutions play a critical role in career development. They need to be cascaded on top of the technical expertise that one has to build. These are illustrated with many role play examples for effective teaching in a class room environment.
Emerging technologies such as Artificial Intelligence, IIoT and Blockchain are threatening to take away millions of conventional jobs over the next three decades. They have the potential to create even more jobs for he future. But the structural changes in job markets would be painful and would vary from country to country. This presentation suggests a macro model for India to be ready to face the challenges.
The career opportunities emerging, due to technology, in coming decades, is amazing. So do entrepreneurial opportunites. Every student has to be either an entrepreneur or intrapreneur to stay employed.
Both the industry and academia are keen to derive synergy from their relationship; in particular in research partnership. Yet many a time they fall short in what can be achieved. We present a collaboration framework that can enhance the effectiveness.
Sampling is a powerful tool to obtain valuable information about a population quickly and at a fraction of the cost. But the sample size and sampling plan have to be proper to yield scientifically valid and acceptable conclusions. We describe this challenge in understandable terms for all and back it up with sufficient statistical concepts for the benefit of students.
The Indian IT services industry has grown significantly over the past few decades due to globalization. Factors like low costs and a skilled workforce gave India an initial advantage, but investments in skills, quality processes, and partnerships with global technology companies helped the industry develop and access international markets. As the industry matured, Indian firms offered high-quality outsourcing services to clients and grew rapidly, especially during periods like the Y2K transition. Continued success depends on constantly upgrading skills, focusing on employees, balancing quality and cost, managing global supply chains effectively, and innovating vendor relationships.
IT Service Firms employ hundreds of thousands of technical staff. At any given time more than 25000 sit on bench in large firms. The decision to keep them on bench,versus train them on new skills or let go can be modeled using mathematical programming to arrive at the best decision.
1) Application software maintenance accounts for 70% of IT budgets and involves maintaining large, mission-critical systems like ERP over time as needs change.
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3) A key insight was reducing the arrival rate of new bugs through comprehensive initial testing and validating data inputs to catch errors earlier. This allowed many teams to reduce headcount over time while satisfying customers.
The utility of Business Analytics lies in its ability to extract value out of stored data. The value may be tactical or strategic. What are the best process for such value discovery? What are the pitfalls? read about them here.
Discover innovative uses of Revit in urban planning and design, enhancing city landscapes with advanced architectural solutions. Understand how architectural firms are using Revit to transform how processes and outcomes within urban planning and design fields look. They are supplementing work and putting in value through speed and imagination that the architects and planners are placing into composing progressive urban areas that are not only colorful but also pragmatic.
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3. Mortgage
Year 0 1 2 5 10 15 20 25 30
Each mortgage
generates mul>
year payments to
the bank from the
borrower.
Each payment has
an Interest
component.
Each payment has
a Principal
component.
Interest component is
larger than the
Principal component
in earlier years and
vice versa.
MBS, CMO.CDO,CDS,SIV etal
4. Mortgage
Year 0 1 2 5 10 15 20 25 30
Prepayment Risk
Mortgage ge)ng closed
earlier than the planned
period either due to
refinancing of the loan or
its foreclosure. No loss in
Principal.
Each payment has
an Interest
component.
Each payment has
a Principal
component.
MBS, CMO.CDO,CDS,SIV etal
Default Risk
Inability to recover the
dues pertaining to
Interest or Principal or
both.
5. Collection
of
mortgages
0-5 Years
5-10 Years
10-15 Years
15-25 Years
25-30 Years
Interest
Payments
Interest
PaymentsInterest
Payments
Interest
Payments
Interest
Payments
Principal
Payments
Principal
Payments
Principal
Payments
Principal
Payments
Principal
Payments
Group 1
Mortgages can be
grouped by way of
similar maturity period
and interest rates etc
MBS, CMO.CDO,CDS,SIV etal
Group 3Group 2 Group 5Group 4
6. Collection of
mortgages
Group X
Interest
Payments
Principal
repayment
Tranch 1
Year 1
MBS, CMO.CDO,CDS,SIV etal
Tranch 2
Tranch 3
Equity
Year 3Year 2 Year N
Interest
Payments
Interest
Payments
Dividend
Mortgage
Receipts
Principal
repayment
Principal
repayment
Capitall
repayment
Tranches can be constructed in many ways. The
waterfall method stipulates a hierarchy of
payments. Interest obligations of Tranch 2 are paid
only after Tranch 1 is fully paid etc. Tranches need
not be equal in size. They could also be
constructed by segmenting the mortgages into
prime and subprime further. Tranches carry
different levels of risk and commensurate returns.
Reserves
7. Collection of
mortgages
Group X
Interest
Payments
Principal
repayment
Tranch 1
Year 1
MBS, CMO.CDO,CDS,SIV etal
Tranch 2
Tranch 3
Equity
Year 3Year 2 Year N
Interest
Payments
Interest
Payments
Dividend
Mortgage
Receipts
Principal
repayment
Principal
repayment
Capitall
repayment
Reserves
Even subprime mortgages can be tranched.
Some tranches will carry lower risk than
the underlying assets while others will
carry higher risk. Usually the highest risk
tranches are retained as equity.
8. MBS :: A Bond created by securitizing a pool of mortgages
CMO :: A tranched MBS
CDO :: ( Cash Flow Based) :: A tranched Asset Backed Security
where the asset can be a Home Equity Loan or
Credit Card Dues etc.
CDO :: ( Synthetic) :: No Asset backing exists but is based on a
pool of Credit Default Swap (CDS)
CDS :: Credit Default Swap :: Protection against a loss or
default, like insurance
MBS, CMO.CDO,CDS etal
9. CMO is tranched based on the returns ( interest and principal
repayment) from underlying mortgage assets.CMO can be a
protection against the Prepayment risk inherent in mortgages.
(Superior tranches get this benefit at the cost of inferior tranches)
CDO ( Cash flow based) is tranched on the pool of loans or other
assets such as credit card receivables. Superior tranches offer
protection against the credit risk while the inferior tranches
exacerbate the risk.
CDO (synthetic) is created from a pool of securities ( like Credit
Default Swaps) that are contingent upon the occurrence of a
default event. The are a form of protection against the default risk.
MBS, CMO.CDO,CDS,SIV etal