Training - Forecasting Models, 7-8 May 2018, Yerevan, Armenia

The ICARE - International Center for Agribusiness Research and Education

invites you to participate in a face-to-face training on

Forecasting Models

conducted by

    Lena Mamikonyan

DATES

The 2-day intensive training will take place on May 7-8, 2018.

VENUE

International Center for Agribusiness Research and Education (ICARE)

Address: 74 Teryan Street, 0009 Yerevan.

TIME

18:30 - 20:45 (this includes a coffee break). For details, see the agenda below.

WORKING LANGUAGE

The working language of the training will be Armenian; however, the PowerPoint slides will be in English.

LEVEL

Intermediate. Participants are not expected to be intimately familiar with forecasting models; however, it is recommended that they have a basic background in statistics (regression analysis) and Microsoft Excel.

TRAINING PARTICIPATION FEE

The training is free of charge. While similar hands-on trainings are quite expensive, ICARE fully covers the associated expenses for the participants, thus staying true to its charitable, social, scientific, and educational commitments.

TRAINING DESCRIPTION

Forecasting is an important tool at the disposal of managers and business analysts at small and large companies for successful decision-making. In this hands-on training, the participants will familiarize themselves with different quantitative models used to generate forecasts of the objects of interest (for example, GDP, prices, quantity sold, sales, costs, interest rates, exchange rates etc.). This training will focus on different quantitative models for developing deterministic or point forecasts. The forecasting models include regression-based models to capture linear and non-linear trends, structural variation, seasonality, cyclical variation, and random variation.

TARGET AUDIENCE

The purpose of this training is to equip participants with practical skills to assist them in making educated economic decisions in a business context. This training extensively uses regression-based forecasting techniques applied to various sample datasets and is intended for business executives, business consultants, business analysts, economists, policy makers, senior level economics and business students, and other interested parties that do forecasting in any type of production or service industry (banking, consulting, food industry, production, wholesaling/retailing, tourism etc.).

EXPECTED OUTCOMES

After completing this training, participants will be able to:

• Recognize the patterns (trend, seasonality, cyclical variation, and random variation) displayed by the data;

• Develop various forecasting models;

• Estimate the model (or models), decide on the best model, and interpret the results; and

• Produce point forecasts.

SOFTWARE

Microsoft Excel will be used.

PRESENTATION METHODS

A combination of PowerPoint presentations and in-class computer exercises will be used (the participants must bring their own notebooks to every session). The participants will be provided with training material ahead of time. A dynamic discussion and exchange of ideas through interactive class participation will be strongly encouraged.

TRAINER

Ms. Mamikonyan received her Master’s degree in Agribusiness and Marketing from Armenian National Agrarian University. Currently, she works as an instructor and graduate research and teaching assistant in the Master of Agribusiness (MAB) program at the Armenian National Agrarian University. She assists in teaching graduate courses such as Econometrics and Managerial Economics, and teaches Agribusiness Analysis and Forecasting in the MAB program. Also, she works as a manager of programs at the Union of Credit Organizations of RA (UCORA).

REGISTRATION PROCEDURE AND DEADLINE

If interested, please register for the training by filling out the registration form - https://docs.google.com/forms/d/e/1FAIpQLScBUUt0RmOuKox-ByFy_QFAI1-Jy-wulADtFg5YiMARW92UPQ/viewform?entry.873515260&entry.1169692720&entry.1961643168&entry.1510937848&entry.73930560&entry.1662108857&entry.987096330&entry.1491186791&entry.94625697&entry.580102181&entry.2137075309&entry.1819305337 (in English). Registration deadline is 18:00 pm, May 5th. The seating is limited. ONLY SHORTLISTED APPLICANTS WILL BE NOTIFIED FOR PARTICIPATION.

AGENDA