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Description

Financial Engineering and Risk Management is a training package in Financial Engineering and Investment Capital Management published by Coursera Academy. This training package consists of five completely independent courses that have different topics such as derivative pricing (derivative pricing), asset allocation (asset allocation), basket and portfolio optimization, natural authority (real), energy (energy) . (Derivatives), goods, algorithms and machines, etc. are included. All taught topics are practical and can be used to solve educational and industrial challenges.

What you will learn in Financial Engineering and Risk Management Specialization

  • Quantitative Analysis
  • Asset Allocation
  • Algorithmic trading
  • Investment portfolio optimization
  • financial mathematics
  • Derivatives
  • Swaps and options deals
  • Fixed income securities
  • Two-sentence distribution
  • Black-Scholes model
  • Types of derivatives and applications of each
  • Stochastic models
  • Development of a systematic and data-driven approach to design and adjust models for calculating returns and returns and the amount of risk in complex and multifaceted investments
  • Backtesting of various investment and trading models

Course Specifications

Publisher: Coursera
Instructors: Ali Hirsa, Garud Iyengar and Martin Haugh
Language: English
Level: Intermediate
institution/university: Columbia University
Number of Courses: 5
Duration: Approximately 7 months to complete – Suggested pace of 3 hours/week

Courses included:

Course 1

Introduction to Financial Engineering and Risk Management

Course 2

Term-Structure and Credit Derivatives

Course 3

Optimization Methods in Asset Management

Course 4

Advanced Topics in Derivative Pricing

Course 5

Computational Methods in Pricing and Model Calibration

Prerequisites

What background knowledge is necessary?

Students should at some point have taken intermediate to advanced undergraduate courses in: (i) probability and statistics, (ii) linear algebra, and (iii) calculus. With regards to programming, we have designed the course so that all required “programming” questions can all be completed within Excel and Python. That said, students are welcome to complete the assignments using their software / programming languages of choice. It would also be very helpful if people have had some prior exposure to an introductory finance course. In particular, students should know what interest rates are, understand discounting and compounding, and have some basic familiarity with option, futures etc.

Pictures

Financial Engineering and Risk Management Specialization

Financial Engineering and Risk Management Specialization Introduction Video

Installation Guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

This Specialization contain 5 courses.

Download Links

Introduction to Financial Engineering and Risk Management

Download Course – 536 MB

Term-Structure and Credit Derivatives

Download Course – 458 MB

Optimization Methods in Asset Management

Download Course – 308 MB

Advanced Topics in Derivative Pricing

Download Course – 418 MB

Computational Methods in Pricing and Model Calibration

Download Part 1 – 1 GB

Download Part 2 – 936 MB

File password (s): www.downloadly.ir

Size

In total, about 3.6 GB

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