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Trading Strategies in Emerging Markets

Ramabhadran Thirumalai and Prasanna Tantri

This Specialization equips individual investors and money managers with the skills required to develop their own trading strategies and test them. When you complete the Specialization, you’ll be ready to apply eight ready-made trading strategies, based on rigorous academic research, that have been shown to be. You’ll also be able to design your own trading strategy, back test it, and measure its performance.

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What's inside

Five courses

Trading Basics

(0 hours)

The purpose of this course is to equip you with the knowledge required to comprehend the financial statements of a company and understand the various transactions that take place in the stock market.

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Trading Algorithms

(0 hours)

This course covers two of the seven trading strategies that work in emerging markets: Piotroski F-score and Post earnings announcement drift (PEAD). You will learn how to read an academic paper, calculate the F-Score, and use it in a strategy.

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Advanced Trading Algorithms

(0 hours)

This course provides back test results for strategies in developed and emerging markets. You will learn to build a robust back testing system, differentiate between data mining and solid empirical results, back test results, and stress test them. You will also learn to incorporate transaction costs and other frictions into the back testing algorithm and techniques for measuring a strategy's performance and risk-adjusted return.

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Creating a Portfolio

(0 hours)

This course integrates learning from the first three courses and guides learners about building a portfolio of strategies and integrating them into a hedge fund.

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Design your own trading strategy – Culminating Project

(0 hours)

Design new trading strategies, evaluate them, integrate them with the existing portfolio, and develop a plan to start a hedge fund.

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Time

1 hours

Level

Introductory

Via

Coursera

Institution

Indian School of Business

Instructors

Ramabhadran Thirumalai

Prasanna Tantri

Level

Introductory

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