IMT-008

Using Trend Analysis and Forecasting for Effective Investor Relations

INTRODUCTION

Trend analysis is a technical analysis approach that aims to forecast future stock price movements using recently observed trend data. Trend analysis forecasts the long-term direction of market sentiment using past data such as price movements and transaction volume.

Finance, business, and economics experts utilize trend analysis to uncover historical and present market patterns in order to evaluate firm performance and estimate future developments.

This data is then utilized to make data-driven decisions to enhance tactics. Continue reading to learn the ins and outs of trend analysis, as well as examples of how you can use it to make effective business decisions now and in the future.

 

COURSE METHODOLOGY

This course is designed in the form of workshop which will includes a variety of learning tools to help participants function effectively and efficiently in a multifunctional environment through various methodologies including;

  • Short lectures
  • Brainstorming
  • Case studies
  • Group activities
  • Role playing

 

COURSE OBJECTIVES

The attendees of this Certificate Program will be able to:

  • Learn process of comparing an organization’s financial patterns
  • Make use of financial records to estimate future performance or to identify trends in previous data.
  • Learn three forms of trend analysis: uptrends, downtrends, and horizontal trends..
  • Identifying turning points

 

 WHO SHOULD ATTEND THIS COURSE?

  • Managers
  • Supervisors
  • Executives
  • Leaders
  • Investment manager
  • Finance manager
  • Portfolio manager
  • Anyone who is seeking improvement in skills for enhanced performance and career development

 

TARGETED SKILLS

  • Risk management
  • Systems thinking
  • Performance management
  • Change management
  • Proactive thinking
  • Problem solving
  • Results orientation
  • Trend analysis
  • Forecasting
  • Investors relations
Course Code: IMT-008 Category:

Available Options

LocationLanguageMode of TrainingDurationDate 
OnlineEnglishVirtual5 Days3-7 Mar 2024
Kuwait (Kuwait City)EnglishFace-to-Face5 Days17-21 Mar 2024
Ghana (Accra)EnglishFace-to-Face5 Days10-14 Mar 2024
Maldives (Male)EnglishFace-to-Face5 Days24-28 Mar 2024
Egypt (Cairo)EnglishFace-to-Face5 Days10-14 Mar 2024
India (New Delhi)EnglishFace-to-Face5 Days10-14 Mar 2024
Qatar (Doha)EnglishFace-to-Face5 Days17-21 Mar 2024
UAE (Dubai)EnglishFace-to-Face5 Days17-21 Mar 2024
Bahrain (Manama)EnglishFace-to-Face5 Days24-28 Mar 2024
Russia (Moscow)EnglishFace-to-Face5 Days17-21 Mar 2024
India (Mumbai)EnglishFace-to-Face5 Days24-28 Mar 2024
Oman (Muscat)EnglishFace-to-Face5 Days3-7 Mar 2024
Singapore (Singapore City)EnglishFace-to-Face5 Days24-28 Mar 2024
Armenia (Yerevan)EnglishFace-to-Face5 Days10-14 Mar 2024
Azerbaijan (Baku)EnglishFace-to-Face5 Days3-7 Mar 2024
Location

Armenia (Yerevan), Azerbaijan (Baku), Bahrain (Manama), Egypt (Cairo), Ghana (Accra), India (Mumbai), India (New Delhi), Maldives (Male), Oman (Muscat), Qatar (Doha), Russia (Moscow), Singapore (Singapore City), UAE (Dubai), Kuwait (Kuwait City), Online

Language

English

Mode of Training

Face-to-Face, Virtual

Duration

5 Days

Date

1-5 Oct 2023, 10-14 Dec 2023, 10-14 Mar 2024, 11-15 Jun 2023, 12-16 Nov 2023, 14-18 May 2023, 17-21 Mar 2024, 19-23 Feb 2023, 19-23 Mar 2023, 19-23 Nov 2023, 2-6 Apr 2023, 21-25 Jan 2024, 21-25 May 2023, 24-28 Mar 2024, 26 Feb-2 Mar 2023, 26-30 Mar 2023, 26-30 Nov 2023, 28 Jan-1 Feb 2024, 3-7 Mar 2024, 4-8 Jun 2023, 5-9 Mar 2023, 7-11 Jan 2024, 9-13 Apr 2023