Results 111 to 120 of about 3,985,832 (340)
Banks' lending standards at times seem too stringent and at other times too lax. The pattern seems to indicate that banks lend more easily in good times but tighten credit standards in lean times.
Mitchell Berlin
core
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Advanced Intelligent Systems, EarlyView.Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
Measuring the credit gap: a forecast combination approach
Swiss Journal of Economics and StatisticsThis paper proposes a new approach to calculating the credit gap: the deviation of the credit-to-GDP ratio from its long-run trend. Our method weights credit gap measures from different decomposition methods based on their out-of-sample forecasting ...
N. Kundan Kishor, Nam Nguyen
doaj +1 more source
The effect of brand assets on firm value and credit ratings – Evidence from Korea
Cogent Business & ManagementThis study aims to empirically analyze the impact of brand assets, a company’s core competency, on firm value and credit ratings using companies listed on the KOSPI and KOSDAQ from 2011 to 2019.
Mi-Young Shin, Kyunbeom Jeong
doaj +1 more source
Credit Spreads and Business Cycle Fluctuations [PDF]
This paper examines the evidence on the relationship between credit spreads and economic activity. Using an extensive data set of prices of outstanding corporate bonds trading in the secondary market, we construct a credit spread index that is—compared ...
Egon Zakrajšek, Simon Gilchrist
core
Asset Prices, Credit and the Business Cycle [PDF]
, 2012 This paper uses the multivariate unobserved components model with phase shifts to analyse the interaction of interest rates, output, asset prices and credit in the US.
Montagnoli, A. +8 more
core +1 more source
Dimensions of the AI Divide: Digital Inequality and Psychological Consequences
AI &Innovation, EarlyView.ABSTRACT Artificial intelligence (AI) has become a foundational component of contemporary social, economic, and political life. Yet, the ways in which AI reshapes patterns of exclusion beyond questions of access and technical capability remain insufficiently theorized.
Christos Papaioannou
wiley +1 more source
Ekonometria, 2022 The paper augments the standard business cycle model with cash and credit goods following Lucas and Stokey (1983, 1987), together with a modified cash-in-advance (CIA) considerations.
Aleksandar Vasilev
doaj
Foreign‐funded credit: Funding the credit cycle?
International Finance, 2019 AbstractThis study investigates what drives the credit cycle, focusing on the role of foreign‐funded bank credit (FFC). Considering credit cycles in 41 countries over the period 1985–2015, this study finds that credit booms are associated with an increase in the share of FFC in an economy.
openaire +2 more sources
American Journal of Agricultural Economics, EarlyView.Abstract While multiple factors explain low adoption rates of improved varieties by small‐scale farmers in sub‐Saharan Africa, a key supply‐side constraint is the limited availability of seed embodying new traits in the volume, quality, price, and timeliness required by farmers. This constraint is partly attributable to classical failures in the market
Dawit Mekonnen +5 more
wiley +1 more source