Into the Mystic: WSJ’s ‘most accurate forecaster’ on where the economy is headed [encore - 06.10.24]
Dec 30, 2024
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Belinda Román, 2023's most accurate economic forecaster and Associate Professor at St. Mary’s University, joins Dennis Schoenmaker, global co-head of forecasting at CBRE. They discuss the balance between data and qualitative insights in economic forecasting. Román predicts 3% GDP growth while Schoenmaker forecasts 2%. They explore the role of AI in enhancing commercial real estate predictions and the significance of labor dynamics amidst geopolitical changes. Their insights highlight the complexity and opportunities within the evolving economic landscape.
Qualitative insights are essential in economic forecasting, as they provide context to quantitative data and reflect real-world conditions.
The integration of advanced technologies like AI in forecasting enhances model accuracy and helps bridge information gaps in commercial real estate.
Deep dives
The Importance of Qualitative Insights in Economic Forecasting
Qualitative insights play a crucial role in effective economic forecasting, as emphasized by the leading forecaster recognized by The Wall Street Journal. Analyzing numbers requires grounding them with real-world observations to understand whether they accurately reflect current economic conditions. Engaging with various stakeholders, from shopkeepers to business leaders, provides context that complements quantitative data. This qualitative focus helps forecasters ensure their predictions align with the realities faced by those operating in the economy.
Challenges in Forecasting Amid Economic Uncertainties
The past few years have presented significant challenges for economic forecasters, primarily due to unforeseen shocks like the COVID-19 pandemic. Forecasters struggled to navigate abrupt changes in GDP and market dynamics, complicating long-term predictions. To adapt, they employed various economic scenarios to explore potential impacts on real estate markets under different conditions. This adaptive approach has been invaluable in discussions with clients experiencing rapidly changing market situations.
The Role of Labor in Economic Models
Labor is a foundational element influencing local economies and should be closely monitored when creating economic models. Employment data reveals trends that can inform forecasts about regional economic health and growth. Additionally, the relationship between labor markets across borders highlights how changes, particularly in trade partnerships, affect the overall economy. Understanding these dynamics helps forecasters project future demand and supply across various sectors more accurately.
Leveraging Technology and Data for Improved Forecasting
The integration of advanced technologies, including AI and machine learning, is transforming the landscape of economic forecasting and real estate analysis. By harnessing alternative data sources and improving data accessibility, forecasters can enhance the accuracy of their models. This shift not only assists in recognizing and reacting to market changes but also helps bridge the information asymmetry often observed within the real estate sector. As these technologies evolve, they are expected to offer more granular insights that refine forecasting methodologies.
Back in June, Belinda Román, 2023’s most accurate forecaster, according to The Wall Street Journal, and CBRE Econometric Advisors’ Dennis Schoenmaker opine on the art, science and technology involved in predicting the ebbs and flows of the global economy.
Insights to Share:
Belinda Román, Associate Professor of Economics at St. Mary’s University, expects GDP growth of 3% this year.
CBRE EA’s Dennis Schoenmaker expects GDP to hover around 2%.
Even with slower economic growth, there will be opportunities in commercial real estate.
Regional, national and global forecasting requires a deep understanding of the available data.
In commercial real estate, where information has historically been opaque, future forecasting can be enhanced by AI.
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