Investor Presentaiton
Elective courses
Quantitative Finance
(12 Credits)
MAF 651
Risk Management in
Capital Market
This course summarizes the scholarly consensus regarding
efficient minimization and channeling of financial, business, and
economic understanding of risks. Different typological and
factorial components of risks are analyzed in practical
relationship with the capital market of Bangladesh.
MAF 652
Financial Modeling
MAF 653
Data Analytics for Finance
A close and practical introduction to the power and potential of
spreadsheet modeling to aid investment decisions concerning
financial data is provided through this course. Students are enabled
to run, validate, and replicate portfolio construction and optimization
with a concrete grasp of the underlying procedures.
This course bridges a modular understanding of statistical
thinking with finance with advanced analytical techniques
allowed by computing with statistical programming. It also
utilizes the vast potentials of integrating cutting-edge computing
techniques e.g. algorithmic trading, predictive simulations,
big-data analytics, etc.
MAF 654
Empirical Methods in Finance
MAF 655
Fintech
A thorough knowledge-base in financial econometrics by means of
estimation, computation, and application is imparted through this
course. Students are introduced to econometric approaches useful
for portfolio management and capital market strategies in different
types of experimental and non-experimental setting.
This course espouses the contemporary significance to
ground-breaking financial innovations such as blockchains,
crypto-currencies, and alternative lending practices. As aspiring
participants of an emerging economy, students are expected to
gain a broad knowledge of machine-learning, cyber-systems,
and data-driven protocols.
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