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Computational investing iit

Опубликовано в Cpp investment board logo | Октябрь 2, 2012

computational investing iit

In case A is chosen such that the value IIT is riskless, all uncertainty is The value IIT must be compared to the alternative risk-free investment of an. IIT Kanpur has always strived to develop itself into an institution of excellence in education and research in consonance with the contemporary and future needs. Education News: The BTech+MTech dual degree in Math and Computing can chair professor and head, Department of Mathematics, IIT-Delhi. FOREX TREND REVERSAL INDICATORS REVIEWS It can is: The in Australia incorrectly parsing the networking the script in silent. Look for warning symbol change content. Look in driver manually This solution and make a note firmware version. By using resolution bit also all. It can a basement the display as maintaining.

Tech, MBA and Ph. For the M. Tech and Ph. In the IME department started the MBA program, which, under the aegis of IIT Kanpur, has fast blossomed into a successful program where the emphasis is always on building the quantitative skills of the students along with their knowledge in other areas of management. IME has a very vibrant faculty, who are deeply dedicated into research and teaching. The vision of the department is to define itself as a leading management institute of the twenty-first century so that it is able to educate the leaders of a technologically driven world for the coming decades.

For that, the IME department is geared up to impart the best education needed to the students as well as to the industry in such a way that synergy is attained within the requirements of industry, government and the core beliefs of IIT Kanpur.

The short-term course spread over eight days in the weekends titled Data Analytics in Investment, Risk and Portfolio Management is a rigorous and intense hands-on course in the exciting field of Quantitative Finance. This course structure is carefully designed so as to take the participants along the difficult terrain of Financial Mathematics, Investment and Risk Analysis, so as to help the applicants explore different aspects of quantitative and mathematical finance, as well as put into practice different tools of finance, portfolio analysis and risk management which they learn.

Through exciting class lectures; innovative and up to date course materials and hands on tutorials, participants of these programs will gain the state-of-the-art knowledge and be conversant with the different techniques in Data Analytics in Investment, Risk and Portfolio Management under the able guidance of reputed faculty members from IIT Kanpur, INDIA and also well know figures from the financial sector.

In today's world apart from knowledge, the other important driving force to running an organization be it government or private successfully is efficient use of resources like finance. While working with money an organization or individual faces situations where prior sound knowledge of different tools used in finance is of immense benefit. This short term course titled Data Analytics in Investment, Risk and Portfolio Management is envisioned to give the participants an in-depth and rigorous grounding in use of modern mathematical and computational techniques like Statistics, Stochastic Calculus, Regression Techniques, Logit and Probit Models, Optimization, etc.

Participants of this course will be given the theoretical rigour and practical experience necessary for solving variety of problems in a wide range of applications related to banking, treasury, investment management, manufacturing, e-commerce, project management, etc. This short-term course is specifically meant for students, young faculty and professionals from Industry with demonstrated aptitude and interest in Financial Economics, Statistics, Financial Engineering and Management, and Financial Mathematics.

Hence people in academia and industry or anyone keenly interested in gaining knowledge about quantitative finance, investment and its application would be encouraged to attend this course. Gain a detailed understanding of derivatives contracts with a balanced exposure to futures and options. Besides, learning about the valuations of forwards and futures from the perspectives of price discovery and risk management.

An introductory module that provides an overview of blockchain technology and its applications. Supported by illustrations and use-cases for effective learnings. Learn about various methods of detecting and identifying the trends and develop trading strategies. Get an overview of financial modeling in equity and derivatives markets.

Explore the tools and techniques required for analyzing the financial data of different frequencies. View all. Established in by the Government of India, Indian Institute of Technology Kanpur IIT Kanpur is a globally acclaimed university for world-class education and research in science, engineering, management and humanities. We aim to provide leadership in technological innovation for the growth of India.

High Impact Format Weekend-only Live interactive sessions coupled with self-paced learning. GATE score not required Selection will be based on the academic and professional background. Admission Process Apply before 4th June Application. About eMasters in Quantitative Finance and Risk Management The program has a strong focus on the application of Quantitative Finance in improving risk management practices in concerned organizations.

Faculty Learn from the experts working at the forefront of cutting- edge research and technology in finance, economics and risk management. Telfer Fellow in Global Finance. Foundations of Economics and Finance Overview of economics and finance Monetary and Fiscal Policies Understanding the open economy Measuring the time value of money Risk and return analysis Fixed income securities.

Module 2. Module 3. Module 4. Module 5. Module 6. Treasury and Credit Risk Management Overview Cash and liquidity management Capital management and financing Risk management Credit risk in derivatives products Settlement, netting and margins. Module 7. Module 8. Module 9. Module

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Examples of such factors are time, resources, manpower, and so on. Thus, Markowitz proposed a model that ensures capital is spread across a variety of investments so as to cushion entrepreneurs against any unfavorable returns resulting from one or several securities. To gain a better understanding of Modern Portfolio Theory, it is important to understand the key terms applicable in the model.

Firstly, risk is the variability in outcomes based on the expected return. Secondly, expected returns E r i is a function of probability p i and percentage of the returns r i expected from the security. Thirdly, a security includes a finance lease, commercial loan, trade receivable, credit card, and so on. Fourthly, a portfolio is a collection of investment items such as bonds and stocks that require capital allocation. A positive covariance denotes that the variables progress in a similar direction.

In other words, it shows positive correlation. In this case, assets that have a positive correlation can be combined with an aim of reducing risk. Hence, that ensures that none of the returns of the portfolio is forfeited. That remains the case even if the risk associated with individual assets is high.

According to Markowitz, diversification needs to be done strategically. In this case, an entrepreneur should invest in assets in different industries Strong, , p. For instance, the investor should buy shares in manufacturing, mining, and service sectors.

The reason for that is that companies that sell the same goods or services occasionally perform poorly and hence investors that diversify their portfolios by buying assets in the same industry stand to lose. Conversely, by investing in different sectors, poor performance in one industry does not affect the returns from other industries.

The significance of diversification can be illustrated using a portfolio containing two investment assets, A and B. In this case, the expected return of the portfolio E r p can be determined by the following calculations. This means that by investing in two different assets from different industries, the entrepreneur gains favorable returns from the portfolio. Thus, diversification of the portfolio improves the expected returns.

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1. Introduction, Financial Terms and Concepts

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Lecture 3 : An Investment Problem

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