RAM Ratings picks up dual wins at FocusEconomics Analyst Forecast Awards 2024

Published on 13 Jun 2024.

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RAM Ratings secured top honours in two categories of the 2024 FocusEconomics Analyst Forecast Awards recently, solidifying its position as a leader in economic forecasting.

In claiming the number 1 spot for its accuracy in predicting Malaysia’s interest rates, the company demonstrates its deep understanding of the nation’s economic landscape and its ability to anticipate future trends. Meanwhile, the economics team’s proficiency in gauging price movements and potential inflationary pressures won RAM Ratings the second spot for inflation rate forecasts.

“We are proud to be acknowledged by FocusEconomics once again,” said Julie Ng, RAM Ratings’ Chief Executive. “These awards serve as a testament to the exceptional talent and dedication of our economic research team.  Our commitment to crafting robust forecasting models, coupled with a keen grasp of market dynamics, empowers us to deliver valuable insights to our clients.”

The annual FocusEconomics Analyst Forecast Awards recognise the most accurate economic forecasters for the six key macroeconomic indicators (GDP, Fiscal Balance, Inflation, Interest Rate, Exchange Rate and Current Account) in more than 100 countries and for 21 commodities. In 2024, the awards honoured the top forecasters for 2023, having assessed forecasts submitted by over 668 institutions to its monthly survey over the course of 22 months. To be considered, the panellist must have submitted a minimum number of forecasts over the given period. 


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About RAM Rating Services Berhad (RAM Ratings)

Established in 1990, RAM Ratings is a leading credit rating agency registered under the Securities Commission’s Guidelines on Registration of Credit Rating Agencies, 2011. In addition to the provision of credit ratings for corporate bonds and sukuk and their issuers, RAM Ratings also provides research and publications on Islamic finance, fixed income and macro-economic and industry analysis as well as data analytics relating to credit risk, counterparty assessments and other related domains. 


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