Semester.ly

Johns Hopkins University | BU.232.610

Computational Finance

2.0

credits

Average Course Rating

(-1)

Modern financial markets are characterized by the widespread use of ever more powerful computational technology. The solutions to pricing, hedging, and portfolio allocation problems require familiarity with it, and so does effective trading in an age in which accuracy and speed are essential. This course teaches students the fundamentals of coding. The emphasis is on coding for inferential, modeling and simulation purposes. While class instruction will be based on MATLAB, one of the most popular programming platforms in the industry and the common language of choice for all courses in this program, students will also be exposed to other popular programming languages.

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Lecture Sections

(F1)

No location info
V. Elenev
13:30 - 16:30

(F2)

No location info
V. Elenev
08:30 - 11:30

(W1)

No location info
S. Urban
08:15 - 11:15

(W2)

No location info
S. Urban
14:30 - 17:30

(W3)

No location info
V. Elenev
08:15 - 11:15

(W4)

No location info
V. Elenev
08:15 - 11:15

(W5)

No location info
V. Elenev
14:30 - 17:30

(W6)

No location info
V. Elenev
14:30 - 17:30

(W7)

No location info
S. Urban
18:00 - 21:00