Results 151 to 160 of about 11,084,503 (306)

Impact of bank competition on the interest rate pass-through in the euro area [PDF]

open access: yes
This paper analyses the impact of loan market competition on the interest rates applied by euro area banks to loans and deposits during the 1994-2004 period, using a novel measure of competition called the Boone indicator.
Kok, Christoffer   +3 more
core   +2 more sources

Dynamic Etching‐Induced Cl‐Terminated Ti3C2Clx/Ti3ZnC2 Heterostructure for Ammonia Electrosynthesis and Zinc‐Nitrogen Batteries

open access: yesAdvanced Science, EarlyView.
A stable Ti3C2Clx/Ti3ZnC2 heterostructure, fabricated by dynamic etching, exhibits outstanding electrocatalytic NRR activity (NH3 yield: 20.1 µg h−1 mg−1, FE: 38.1%) in alkaline media. The corresponding Zn‐N2 battery achieves a peak power density of 36.5 µW cm−2 and an NH3 yield of 13.1 µg h−1 mg−1, providing an advanced strategy for NH3 and ...
Yu Wang   +9 more
wiley   +1 more source

Pricing Interest-Rate Risk for Mortgage REITs [PDF]

open access: yes
Using tax-qualified mortgage REITs over three periods (1976-79, 1980-82, and 1983-90), this paper investigates the pricing of interest-rate risk for mortgage REITs at equilibrium.
James R. Webb, Youguo Liang
core  

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

open access: yesAdvanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh   +8 more
wiley   +1 more source

Calibration of interest rate term structure and derivative pricing models [PDF]

open access: yes
We argue interest rate derivative pricing models are misspecified so that when they are fitted to historical data they do not produce prices consistently with the market.
Pang, Kin
core  

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

open access: yesAdvanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou   +3 more
wiley   +1 more source

Evaluating the Interest-Rate Risk of Adjustable-Rate Mortgage Loans [PDF]

open access: yes
This paper evaluates the interest-rate risk inherent in an adjustable-rate mortgage (ARM) with sporadic rate adjustments and possibly binding periodic and life-of-loan rate change constraints.
Raymond Chiang   +2 more
core  

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