Narrow Your Choices

Refine By Countries

Refine By Series

Refine By Language

Refine By Date

—

Refine By IMF Taxonomy

Refine By JEL Taxonomy

Refine by LOC Taxonomy

Refine By THEMA Taxonomy

  • Print
  • Save

Business and Economics > Finance: General

You are looking at 1 - 3 of 3 items for :

  • Type: Journal Issue x
  • General Economics and Teaching x
Clear All Modify Search
Cover IMF Working Papers
Public Perceptions of Canada’s Investment Climate: A Natural Language Processing-Based Approach
Flora Lutz
,
Yuanchen Yang
, and
Chengyu Huang
Canada’s muted productivity growth during recent years has sparked concerns about the country’s investment climate. In this study, we develop a new natural language processing (NPL) based indicator, mining the richness of Twitter (now X) accounts to measure trends in the public perceptions of Canada’s investment climate. We find that while the Canadian investment climate appears to be generally favorable, there are signs of slippage in some categories in recent periods, such as with respect to governance and infrastructure. This result is confirmed by both survey-based and NLP-based indicators. We also find that our NLP-based indicators would suggest that perceptions of Canada’s investment climate are similar to perceptions of U.S. investment climate, except with respect to governance, where views of U.S. governance are notably more negative. Comparing our novel indicator relative to traditional survey-based indicators, we find that the NLP-based indicators are statistically significant in helping to predict investment flows, similar to survey-based measures. Meanwhile, the new NLP-based indicator offers insights into the nuances of data, allowing us to identify specific grievances. Finally, we construct a similar indicator for the U.S. and compare trends across countries.
Keywords:
Investment Climate; Canada; Machine Learning; Sentiment Analysis; muted productivity growth; investmest climate; investment flow; NLP-based indicator; Climate finance; Competition; Infrastructure; Productivity; Mining sector; Global
Cover Regional Economic Outlook, April 2021, Middle East and Central Asia
Regional Economic Outlook, April 2021, Middle East and Central Asia
International Monetary Fund. Middle East and Central Asia Dept.

Abstract

A year into the coronavirus (COVID-19) pandemic, the race between vaccine and virus entered a new phase in the Middle East and Central Asia, and the path to recovery in 2021 is expected to be long and divergent. The outlook will vary significantly across countries, depending on the pandemic’s path, vaccine rollouts, underlying fragilities, exposure to tourism and contact-intensive sectors, and policy space and actions. 2021 will be the year of policies that continue saving lives and livelihoods and promote recovery, while balancing the need for debt sustainability and financial resilience. At the same time, policymakers must not lose sight of the transformational challenges to build forward better and accelerate the creation of more inclusive, resilient, sustainable, and green economies. Regional and international cooperation will be key complements to strong domestic policies.

Keywords:
COVID-19; pandemic; recovery; financial crisis; public health; lockdown; social distancing; IMF staff calculation; net bank financing; financing risk; financing constraint; policy space constraint; Oil; Emerging and frontier financial markets; Government debt planning; Oil prices; Middle East and Central Asia; Global; Central Asia and the Caucasus; Middle East; North Africa
Cover IMF Working Papers
Forecasting Accuracy of Crude Oil Futures Prices
Mr. Manmohan S. Kumar
This paper undertakes an investigation into the efficiency of the crude oil futures market and the forecasting accuracy of futures prices. Efficiency of the market is analysed in terms of the expected excess returns to speculation in the futures market. Accuracy of futures prices is compared with that of forecasts using alternative techniques, including time series and econometric models, as well as judgemental forecasts. The paper also explores the predictive power of futures prices by comparing the forecasting accuracy of end-of-month prices with weekly and monthly averages, using a variety of different weighting schemes. Finally, the paper investigates whether the forecasts from using futures prices can be improved by incorporating information from other forecasting techniques.
Keywords:
WP; time series; random walk; moving average; forecasting accuracy; crude oil; oil futures prices; settlement price; futures prices accuracy; gasoline futures; price of futures contracts; crude oil price; WTI price; transactions price; futures price forecast; end-of-the-month price; Futures; Oil; Oil prices; Futures markets; Econometric models