Search Results for author: Francis X. Diebold

Found 11 papers, 1 papers with code

Climate Models Underestimate the Sensitivity of Arctic Sea Ice to Carbon Emissions

no code implementations7 Jul 2023 Francis X. Diebold, Glenn D. Rudebusch

The carbon sensitivity of Arctic sea ice area is considerably stronger in the observed data than in the climate models.

On the Past, Present, and Future of the Diebold-Yilmaz Approach to Dynamic Network Connectedness

no code implementations8 Nov 2022 Francis X. Diebold, Kamil Yilmaz

We offer retrospective and prospective assessments of the Diebold-Yilmaz connectedness research program, combined with personal recollections of its development.

A New Test for Market Efficiency and Uncovered Interest Parity

no code implementations2 Nov 2022 Richard T. Baillie, Francis X. Diebold, George Kapetanios, Kun Ho Kim

We suggest a new single-equation test for Uncovered Interest Parity (UIP) based on a dynamic regression approach.

regression

On the Financing of Climate Change Adaptation in Developing Countries

no code implementations20 Oct 2022 Francis X. Diebold

I offer reflections on adaptation to climate change, with emphasis on developing areas.

Assessing and Comparing Fixed-Target Forecasts of Arctic Sea Ice: Glide Charts for Feature-Engineered Linear Regression and Machine Learning Models

1 code implementation21 Jun 2022 Francis X. Diebold, Maximilian Goebel, Philippe Goulet Coulombe

We use "glide charts" (plots of sequences of root mean squared forecast errors as the target date is approached) to evaluate and compare fixed-target forecasts of Arctic sea ice.

On Robust Inference in Time Series Regression

no code implementations8 Mar 2022 Richard T. Baillie, Francis X. Diebold, George Kapetanios, Kun Ho Kim

Second, most economic time series have strong autocorrelation, which renders HAC regression parameter estimates highly inefficient.

regression Time Series +1

A Benchmark Model for Fixed-Target Arctic Sea Ice Forecasting

no code implementations25 Jan 2021 Francis X. Diebold, Maximilian Gobel

We visually detail the evolution of the statistically-optimal point, interval, and density forecasts as time passes, new information arrives, and the end of September approaches.

"Big Data" and its Origins

no code implementations13 Aug 2020 Francis X. Diebold

Against the background of explosive growth in data volume, velocity, and variety, I investigate the origins of the term "Big Data".

BIG-bench Machine Learning

Real-Time Real Economic Activity: Entering and Exiting the Pandemic Recession of 2020

no code implementations26 Jun 2020 Francis X. Diebold

Entering and exiting the Pandemic Recession, I study the high-frequency real-activity signals provided by a leading nowcast, the ADS Index of Business Conditions produced and released in real time by the Federal Reserve Bank of Philadelphia.

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