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Editorial for Special Issue “New Frontiers in Forecasting the Business Cycle and Financial Markets”
Forecasting, 2021 The global financial crisis of 2007–2009 and the COVID-19 pandemic have heightened uncertainty in financial markets and the business cycle [...]
Alessia Paccagnini
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AAAI Conference on Artificial Intelligence, 2020 Spatial-temporal network data forecasting is of great importance in a huge amount of applications for traffic management and urban planning. However, the underlying complex spatial-temporal correlations and heterogeneities make this problem challenging ...
Chao Song +3 more
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SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting
Forecasting, 2022 Accurate forecasts of the number of newly infected people during an epidemic are critical for making effective timely decisions. This paper addresses this challenge using the SIMLR model, which incorporates machine learning (ML) into the epidemiological ...
Roberto Vega +2 more
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Prediction of Autonomy Loss in Alzheimer’s Disease
Forecasting, 2021 The evolution of functional autonomy loss leads to institutionalization of people affected by Alzheimer’s disease (AD), to an alteration of their quality of life and that of their caregivers.
Anne-Sophie Nicolas +4 more
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When idols look into the future: fair treatment modulates the affective forecasting error in talent show candidates [PDF]
, 2014 People's affective forecasts are often inaccurate because they tend to overestimate how they will feel after an event. As life decisions are often based on affective forecasts, it is crucial to find ways to manage forecasting errors.
Anseel, Frederik, Feys, Marjolein
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Nowcasting GDP: An Application to Portugal
Forecasting, 2022 Forecasting the state of an economy is important for policy makers and business leaders. When this is conducted in real-time, it is called nowcasting.
João B. Assunção +1 more
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Forecasting, 2022 Ever since the start of the coronavirus pandemic, lockdowns to curb the spread of the virus have resulted in an increased interest of retail investors in the stock market, due to more free time, capital, and commission-free trading brokerages.
Boris Andreev +2 more
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Empirical forecasting practices of a British university [PDF]
, 2009 This article is based on a single case study aimed at examining behavioral issues of forecasting, in particular the role and practice of forecasting in a British university settings.
Aziz, RA, Jusoff, K, Percy, DF
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The Yield Curve as a Leading Indicator: Accuracy and Timing of a Parsimonious Forecasting Model
Forecasting, 2021 Previous studies have shown that the treasury yield curve, T, forecasts upcoming recessions when it obtains a negative value. In this paper, we try to improve the yield curve model while keeping its parsimony. First, we show that adding the federal funds
Knut Lehre Seip, Dan Zhang
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Journal of Futures Markets, 1999 The forecasting ability of the most popular volatility forecasting models is examined and an alternative model developed. Existing models are compared in terms of four attributes: (1) the relative weighting of recent versus older observations, (2) the estimation criterion, (3) the trade-off in terms of out-of-sample forecasting error between simple and
Ederington, Louis H., Guan, Wei
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