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Trading Algorithms
Coursera
Course
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Trading Algorithms

Indian School of Business

This course covers two of seven effective trading strategies in emerging markets, detailing original research and practical strategy implementation.

Unknown4 weeksEnglish66,458 enrolled

About this Course

This course covers two of the seven trading strategies that work in emerging markets. The seven include strategies based on momentum, momentum crashes, price reversal, persistence of earnings, quality of earnings, underlying business growth, behavioral biases and textual analysis of business reports about the company. In the first part of the course, you will learn how to read an academic paper. What parts to pay attention to and what parts to skim through will be discussed here. For every strategy, first you will be introduced to the original research and then how to implement the strategy. The first strategy, Piotroski F -score will be discussed in detail. You will be taught how to calculate the F - Score and how to use this score in a strategy. This is followed by the next strategy, Post earnings announcement drift (PEAD)

What You'll Learn

  • Understand trading strategies in emerging markets
  • Analyze academic research papers
  • Implement trading strategies with real data

Prerequisites

  • Basic familiarity with the topic and its common terminology
  • Readiness to practice through applied exercises or case-based work

Instructors

P

Prasanna Tantri

Associate Professor of Finance

Topics

Finance
Business
Economics
Social Sciences
Analysis
Market Dynamics
Financial Analysis
Decision Making
Financial Statements
Equities

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

مالية
أعمال
اقتصاد
علوم اجتماعية
تحليل
ديناميكيات السوق
التحليل المالي
اتخاذ القرار
Financial Statements
Equities

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