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While machine learning has revolutionized many fields such as natural language processing (NLP) and computer vision, its impact on time-series forecasting is still widely disputed, especially in the finance domain. This paper compares…

Artificial Intelligence · Computer Science 2026-05-12 Aman Singh , Tokunbo Ogunfunmi , Sanjiv Das

We propose a unified multi-tasking framework to represent the complex and uncertain causal process of financial market dynamics, and then to predict the movement of any type of index with an application on the monthly direction of the…

Statistical Finance · Quantitative Finance 2022-04-29 Djoumbissie David Romain

This paper investigates the impact of monetary policy surprises on U.S. Treasury bond yields and the implications for portfolio managers. Based on the supply and demand model, traditional economic theories suggest that Federal Reserve bond…

General Economics · Economics 2025-05-13 Minnie Zhu , Yuhan Liu , Simon Gong

Central bank communication plays a critical role in shaping economic expectations and monetary policy effectiveness. This study applies supervised machine learning techniques to classify the sentiment of press releases from the Bank of…

Machine Learning · Computer Science 2025-03-31 Stefano Grassi

The Federal Reserve System (the Fed) plays a significant role in affecting monetary policy and financial conditions worldwide. Although it is important to analyse the Fed's communications to extract useful information, it is generally…

Computation and Language · Computer Science 2021-06-14 Jean Lee , Hoyoul Luis Youn , Nicholas Stevens , Josiah Poon , Soyeon Caren Han

The literature on using yield curves to forecast recessions customarily uses 10-year--three-month Treasury yield spread without verification on the pair selection. This study investigates whether the predictive ability of spread can be…

Econometrics · Economics 2023-10-19 Jaehyuk Choi , Desheng Ge , Kyu Ho Kang , Sungbin Sohn

Macroeconomic variables are known to significantly impact equity markets, but their predictive power for price fluctuations has been underexplored due to challenges such as infrequency and variability in timing of announcements, changing…

General Finance · Quantitative Finance 2025-03-26 Martina Halousková , Štefan Lyócsa

Central Banks interventions are frequent in response to exogenous events with direct implications on financial market volatility. In this paper, we introduce the Asymmetric Jump Multiplicative Error Model (AJM), which accounts for a…

General Economics · Economics 2023-05-23 Giampiero M. Gallo , Demetrio Lacava , Edoardo Otranto

Understanding how information flows through the financial networks is important, especially during times of market turbulence. Unlike traditional assumptions where information travels along the shortest paths, real-world diffusion processes…

Statistical Finance · Quantitative Finance 2025-09-12 Pawanesh Pawanesh , Charu Sharma , Niteesh Sahni

A large class of trading strategies focus on opportunities offered by the yield curve. In particular, a set of yield curve trading strategies are based on the view that the yield curve mean-reverts. Based on these strategies' positive…

Trading and Market Microstructure · Quantitative Finance 2017-05-24 Yash Sharma

Federal Open Market Committee (FOMC) statements are a major source of monetary-policy information, and even subtle changes in their wording can move global financial markets. A central task is therefore to measure the hawkish--dovish stance…

Computation and Language · Computer Science 2026-03-17 Yixuan Tang , Yi Yang

Most representative decision tree ensemble methods have been used to examine the variable importance of Treasury term spreads to predict US economic recessions with a balance of generating rules for US economic recession detection. A…

Machine Learning · Statistics 2022-03-15 Pedro Cadahia Delgado , Emilio Congregado , Antonio A. Golpe , José Carlos Vides

Following the financial crisis of the late 2000s, policy makers have shown considerable interest in monitoring financial stability. Several central banks now publish indices of financial stress, which are essentially based upon market…

General Finance · Quantitative Finance 2015-08-24 Paul Ormerod , Rickard Nyman , David Tuckett

We propose a model to study the consequences of including financial stability among the central bank's objectives when market players are strategic, and surprises compromise their stability. In this setup, central banks underreact to…

General Economics · Economics 2024-05-30 Giampaolo Bonomi , Ali Uppal

This paper introduces a novel approach to financial crisis prediction by establishing a thermodynamic-like framework derived from the fluctuation theorem of statistical physics. We define market temperature through the probability ratio of…

This study proposes a new method of incorporating emotions from newspaper articles into macroeconomic forecasts, attempting to forecast industrial production and consumer prices leveraging narrative and sentiment from global newspapers. For…

Computers and Society · Computer Science 2021-04-15 Sonja Tilly , Markus Ebner , Giacomo Livan

This paper offers a new class of models of the term structure of interest rates. We allow each instantaneous forward rate to be driven by a different stochastic shock, constrained in such a way as to keep the forward rate curve continuous.…

Statistical Mechanics · Physics 2008-12-02 P. Santa-Clara , D. Sornette

In traditional financial markets, yield curves are widely available for countries (and, by extension, currencies), financial institutions, and large corporates. These curves are used to calibrate stochastic interest rate models, discount…

General Finance · Quantitative Finance 2025-12-18 Philippe Bergault , Sébastien Bieber , Olivier Guéant , Wenkai Zhang

Modern macroeconomic models, particularly those grounded in Rational Expectation Dynamic Stochastic General Equilibrium (DSGE), operate under the assumption of fully rational decision-making. This paper examines the impact of behavioral…

Theoretical Economics · Economics 2025-03-04 Arpan Chakraborty

The Federal Open Market Committee within the Federal Reserve System is responsible for managing inflation, maximizing employment, and stabilizing interest rates. Meeting minutes play an important role for market movements because they…

Computation and Language · Computer Science 2023-09-05 Yifei Wang