The
link provides lecture notes for the course Investments offered by the
Massachusetts Institute of Technology (MIT). The notes cover various topics
related to investments, such as risk and return, asset allocation, portfolio
theory, and options. The notes also discuss different types of financial assets,
including stocks, bonds, and real estate. In addition, the notes offer examples
and mathematical models to help understand key concepts. The course is intended
for undergraduate and graduate students interested in finance and investments.
Overall, the lecture notes provide a comprehensive introduction to investments
and financial markets.
Author(s): Prof. Reto Gallati, Massachusetts Institute of Technology
The link provides PDF lecture notes for the course Investment
Management. The notes cover various topics related to investment management,
such as investment objectives, asset allocation, portfolio theory, risk and
return, and stock valuation. The notes also discuss different types of financial
assets, including equities, bonds, and derivatives. The course is intended for
students pursuing a postgraduate degree in business administration or related
fields. Overall, the lecture notes provide a comprehensive introduction to
investment management principles and practices.
Author(s): P.Hemalatha, Teaching Assistant, Department of
commerce
This note covers the following topics: Ingredients of an Investment
Philosophy, Categorizing Investment Philosophies, Developing an Investment
Philosophy, Market Timing, The Cost of Market Timing, Charting and Technical
Analysis, Small Cap and Growth Investing, The Passive Screener, Value Investing,
Information Trading.
This book provides a treatise of the unique features of FDI flows,
covering both theory and data. It focuses on the determinants of the aggregate
flows of FDI at the source-host country level. The book is likely to find its
main readership among academics, graduate students, and trained policy
professionals.
This note
covers the following topics: From CAPM to market anomalies, Credit risk
implications for the cross section of asset returns, Rational versus behavioural
attributes of stylized cross-sectional effects, Conditional CAPM, Conditional
versus unconditional portfolio efficiency, Multi-factor models, Interpreting
factor models, Machine learning methods in asset pricing: Lasso, Ridge, elastic
net, group Lasso, Neural Network, and Random Forest, Panel regressions with
fixed effects and their association with market-timing and cross-section,
investment strategies, Consumption based asset pricing models, The discount
factor representation in asset pricing, The equity premium puzzle, The risk free
rate puzzle, The Epstein-Zin preferences.