Tootfinder

Proponents of a cut in interest rates by the Federal Reserve in December gained a powerful backer on Friday,
when a top official said the central bank had scope to lower borrowing costs “in the near term.”
John C. Williams is president of the Federal Reserve Bank of New York and a close ally of Jerome H. Powell, the Fed chair.
He emphasized in a speech that he was more concerned about the labor market weakening
than that rising inflation because of Trump’s tariffs wou…

Top Fed Official Boosts Odds of a December Rate Cut
John C. Williams, president of the Federal Reserve Bank of New York, said the central bank had scope to lower borrowing costs “in the near term.”

⭐️Silver hit $79 (£58) an ounce for the first time last Friday,
a new peak, up from $56 at the start of December, and just $29 an ounce at the start of 2025.
Analysts have attributed the jump in the price of silver to expectations of US interest rate cuts by the Federal Reserve in 2026,
leading to increased demand for hard assets that protect against inflation and currency debasement.
New restrictions on silver exports from China, which begin on 1 January,
have c…

Fed Cut Interest Rates But Can't Undo 'Damage Created by Trump's Chaos Economy,' Expert Says | Common Dreams
https://www.commondreams.org/news/fed-rate-cuts

Decoupled Multimodal Fusion for User Interest Modeling in Click-Through Rate Prediction
Alin Fan, Hanqing Li, Sihan Lu, Jingsong Yuan, Jiandong Zhang
https://arxiv.org/abs/2510.11066

Decoupled Multimodal Fusion for User Interest Modeling in Click-Through Rate Prediction
Modern industrial recommendation systems improve recommendation performance by integrating multimodal representations from pre-trained models into ID-based Click-Through Rate (CTR) prediction frameworks. However, existing approaches typically adopt modality-centric modeling strategies that process ID-based and multimodal embeddings independently, failing to capture fine-grained interactions between content semantics and behavioral signals. In this paper, we propose Decoupled Multimodal Fusion (…

Convergence in probability of numerical solutions of a highly non-linear delayed stochastic interest rate model
Emmanuel Coffie
https://arxiv.org/abs/2510.04092 https://

Convergence in probability of numerical solutions of a highly non-linear delayed stochastic interest rate model
We examine a delayed stochastic interest rate model with super-linearly growing coefficients and develop several new mathematical tools to establish the properties of its true and truncated EM solutions. Moreover, we show that the true solution converges to the truncated EM solutions in probability as the step size tends to zero. Further, we support the convergence result with some illustrative numerical examples and justify the convergence result for the Monte Carlo evaluation of some financia…

Short-rate models with stochastic discontinuities: a PDE approach
Alessandro Calvia, Marzia De Donno, Chiara Guardasoni, Simona Sanfelici
https://arxiv.org/abs/2510.04289 https:…

Short-rate models with stochastic discontinuities: a PDE approach
With the reform of interest rate benchmarks, interbank offered rates (IBORs) like LIBOR have been replaced by risk-free rates (RFRs), such as the Secured Overnight Financing Rate (SOFR) in the U.S. and the Euro Short-Term Rate (\euro STR) in Europe. These rates exhibit characteristics like jumps and spikes that correspond to specific market events, driven by regulatory and liquidity constraints. To capture these characteristics, this paper considers a general short-rate model that incorporates …

"Gold thrives in a low interest rate environment and during economic uncertainty"
"Gold has climbed 51% so far this year"
But, "America is the hottest country in the world". 🙄
#gold #economy #USA

Exponential convergence of multiagent systems with lack of connection
Fabio Ancona, Mohamed Bentaibi, Francesco Rossi
https://arxiv.org/abs/2510.11334 https://

Exponential convergence of multiagent systems with lack of connection
Finding conditions ensuring consensus, i.e. convergence to a common value, for a networked system is of crucial interest, both for theoretical reasons and applications. This goal is harder to achieve when connections between agents are temporarily lost. Here, we prove that known conditions (introduced by Moreau) ensure an exponential convergence to consensus, with explicit rate of convergence. The key result is related to the length of the graph (i.e. the number of connections to reach a comm…

Assessing the Effects of Monetary Shocks on Macroeconomic Stars: A SMUC-IV Framework
Bowen Fu, Chenghan Hou, Jan Pr\"user
https://arxiv.org/abs/2510.05802 https://

Assessing the Effects of Monetary Shocks on Macroeconomic Stars: A SMUC-IV Framework
This paper proposes a structural multivariate unobserved components model with external instrument (SMUC-IV) to investigate the effects of monetary policy shocks on key U.S. macroeconomic "stars"-namely, the level of potential output, the growth rate of potential output, trend inflation, and the neutral interest rate. A key feature of our approach is the use of an external instrument to identify monetary policy shocks within the multivariate unob- served components modeling framework. We develo…

Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines
Chen Gao, Zixin Zhao, Lv Shao, Tong Liu
https://arxiv.org/abs/2510.11317

Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines
Click-Through Rate (CTR) prediction, a cornerstone of modern recommender systems, has been dominated by discriminative models that react to past user behavior rather than proactively modeling user intent. Existing generative paradigms attempt to address this but suffer from critical limitations: Large Language Model (LLM) based methods create a semantic mismatch by forcing e-commerce signals into a linguistic space, while ID-based generation is constrained by item memorization and cold-start is…

A doubly composite Chernoff-Stein lemma and its applications
Ludovico Lami
https://arxiv.org/abs/2510.06342 https://arxiv.org/pdf/2510.06342

A doubly composite Chernoff-Stein lemma and its applications
Given a sequence of random variables $X^n=X_1,\ldots, X_n$, discriminating between two hypotheses on the underlying probability distribution is a key task in statistics and information theory. Of interest here is the Stein exponent, i.e. the largest rate of decay (in $n$) of the type II error probability for a vanishingly small type I error probability. When the hypotheses are simple and i.i.d., the Chernoff-Stein lemma states that this is given by the relative entropy between the single-copy p…

Viscosity and dynamic surface tension measurement: A guideline for appropriate measurement
Vivek Kumar, JSM Quintero, Aleksey Baldygin, Paul Molina, Thomas Willers, Prashant R. Waghmare
https://arxiv.org/abs/2510.05481

Viscosity and dynamic surface tension measurement: A guideline for appropriate measurement
Dynamic surface tension measurements play a critical role in interfacial activities for liquids with varying viscosities. Understanding the rate at which the interface attains the equilibrium, for surface tension measurements, after the formation of a new interface is of significant interest. Although surface tension is independent of viscosity, the time required for a new surface to form (equilibrium/relaxation time) is influenced by viscosity. The measured surface tension value is accurate on…

HoMer: Addressing Heterogeneities by Modeling Sequential and Set-wise Contexts for CTR Prediction
Shuwei Chen, Jiajun Cui, Zhengqi Xu, Fan Zhang, Jiangke Fan, Teng Zhang, Xingxing Wang
https://arxiv.org/abs/2510.11100

HoMer: Addressing Heterogeneities by Modeling Sequential and Set-wise Contexts for CTR Prediction
Click-through rate (CTR) prediction, which models behavior sequence and non-sequential features (e.g., user/item profiles or cross features) to infer user interest, underpins industrial recommender systems. However, most methods face three forms of heterogeneity that degrade predictive performance: (i) Feature Heterogeneity persists when limited sequence side features provide less granular interest representation compared to extensive non-sequential features, thereby impairing sequence modeling…

The challenging first direct measurement of the 65 keV resonance strength in the $^{17}$O(p,$\gamma$)$^{18}$F reaction at LUNA
D. Piatti, LUNA Collaboration
https://arxiv.org/abs/2510.04597

The challenging first direct measurement of the 65 keV resonance strength in the $^{17}$O(p,$γ$)$^{18}$F reaction at LUNA
A precise determination of the proton capture rates on oxygen is mandatory to predict the abundance ratios of oxygen isotopes in a stellar environment where the hydrogen burning is active. The 17O(p,γ)18F reaction, in particular, plays a crucial role in AGB nucleosynthesis as well as in explosive hydrogen burning occurring in novae and type I supernovae. At the temperature of interest for the former scenario (from 20 MK to 80 MK) the main contribution to the astrophysical reaction rate comes f…