DSpace Collection:https://repository.iimb.ac.in/handle/2074/78362024-03-29T11:15:26Z2024-03-29T11:15:26ZNorms related to "self regulation" in open source communityMeenakshi, NagdeveTulika, Bansalhttps://repository.iimb.ac.in/handle/123456789/55612020-04-16T16:16:21Z2007-01-01T00:00:00ZTitle: Norms related to "self regulation" in open source community
Authors: Meenakshi, Nagdeve; Tulika, Bansal
Abstract: Open source has gained tremendous attention in recent years. The free availability of
source code, which can also be freely modified and redistributed, makes its usage easier.
Open Source Software is characterized by its licenses, such that any user who modifies
the software and then redistributes it either must or may make available to those who
receive it the source code that defines the software and their any modifications. A number
of Open Source software licenses exist in a continuum of legal rights and obligations
ranging from the Berkeley Software Distribution (BSD) license, which permits but does
not require providing source code, to the General Public License (GPL), which mandates
source code availability for all users1.
Apart from these licenses there are other factors, which are very important for the success
of an OSS project. There is no formal mechanism to maintain checks on work of people
in terms of efforts they put in and time they devote. The only check, which can and is
performed, is at the final stage when the code has been made. Also the fact that this
society is highly fragmented, it becomes a mystery how this big community works
without meeting each other and continuously contributing to the society. Hence in this
research project we aim to identify these motivations and structure related factors, which
affect this society and maintain its efficiency and popularity.2007-01-01T00:00:00ZHedge funds - risks return analysisRoy, Anirban BarmanSingal, Karanhttps://repository.iimb.ac.in/handle/123456789/55592020-11-20T04:27:57Z2007-01-01T00:00:00ZTitle: Hedge funds - risks return analysis
Authors: Roy, Anirban Barman; Singal, Karan
Abstract: Abstract: This paper looks at the Hedge Funds as an alternative investment strategy. It
enumerates the various characteristics of Hedge Funds that make it different from conventional
investment strategies and also investigates into the structure of a typical Hedge Fund. The main
thrust of the paper, is however, to present a new approach to investigate into the risk return
profile of 18 different hedge fund strategies. The originality of the work lies in using DEA (Data
Envelopment Analysis) to decipher the risk return profile of these strategies using advanced
measures of risk and return like CVaR, Drawdown and Skewness. The paper also presents results
of a z-test that throws light on whether Hedge Funds were responsible for Asian Financial Crisis
of 1997. Several other z-tests are also presented in the paper that enables an investor to choose
the strategy with best risk return profile and eliminate some during market meltdowns of specific
nature. In a nutshell, the paper seeks to demystify Hedge Fund investing for an intelligent
investor using the latest mathematical and statistical tools.
Keywords: Hedge Fund, Data Envelopment Analysis, Equity, Fixed Income, Sharpe ratio2007-01-01T00:00:00ZPricing fixed income securities using copulaeDeshpande, AmitChaudhri, Amlanhttps://repository.iimb.ac.in/handle/123456789/55602020-04-16T16:16:21Z2007-01-01T00:00:00ZTitle: Pricing fixed income securities using copulae
Authors: Deshpande, Amit; Chaudhri, Amlan
Abstract: The rapidly growing credit derivatives market allows corporate and financial institutions to
efficiently transfer and manage their credit exposures by repackaging their credit exposures
and trading them in the secondary market.
Collaterised Debt Obligation or CDOs, as we know them, is one of the widely used products
to reduce credit exposure1. CDOs are securities, backed by assets generating revenue
streams like sovereign or corporate bonds, residential and commercial mortgages and other
kinds of loans.2007-01-01T00:00:00ZCredit risk management in banks using copulaSurendhaaren, Vhttps://repository.iimb.ac.in/handle/123456789/55582020-04-16T16:16:21Z2007-01-01T00:00:00ZTitle: Credit risk management in banks using copula
Authors: Surendhaaren, V
Abstract: This report explores the modern methods used in Credit Risk Management in Banks. It
describes the model built to value a portfolio of loans and thus calculate the credit risk
VAR of the portfolio using copulas to model the dependencies between the loans in the
portfolio. The report addresses the two challenges faced in doing the same –
?? Pricing of loan products issued by banks which have prepayment options and a
probability of default
?? Pricing of a portfolio of loans with default correlation using copulas
Towards the end, a sensitivity analysis of VARs obtained using the Student (df=10) and
Gaussian copulas is done for changes in values of hazard rate of the loans, correlation
matrix of the loan portfolio and recovery value of the loans that might deviate from the
current value with the arrival of new information.2007-01-01T00:00:00Z