Results 131 to 140 of about 7,627 (261)
Exchange Rates and Sovereign Risk: A Nonlinear Approach Based on Local Gaussian Correlations
ABSTRACT We empirically assess the interlinkages between sovereign risk, measured in terms of CDS spreads, and exchange rates for a sample of emerging markets. Our period of analysis includes episodes of severe stress, such as the Global Financial Crisis, the COVID‐19 pandemic, and the Ukrainian War.
Reinhold Heinlein +2 more
wiley +1 more source
The Platform Messaging Effect (PME): A quantification of how go-vote reminders on social media platforms can influence voting intentions. [PDF]
Epstein R +3 more
europepmc +1 more source
ABSTRACT While existing work shows COVID‐19 stay‐at‐home (SAH) policies decreased mobility on average, we lack evidence regarding heterogeneity in policy effectiveness across US counties. To uncover potential heterogeneity, we implement a novel two‐stage approach.
James Sears +5 more
wiley +1 more source
International Evidence on the Relationship Between Financial Literacy and Corporate Cash Holdings
ABSTRACT This study is the first investigation of the relationship between corporate cash holdings and financial literacy (FL). We find that a one‐standard‐deviation increase in FL is associated with an 8%–27% reduction in corporate cash holdings, depending on the measure of FL used.
Kenneth Yung +3 more
wiley +1 more source
The Futures of Digital Democracy: Four Scenarios. [PDF]
Fuchs C, Museba J, Friesch K.
europepmc +1 more source
Abstract BACKGROUND The South Korean wine market has rapidly expanded in recent years; however, the sensory characteristics of domestically produced red wines remain largely unexplored. This study aims to profile the sensory attributes of South Korean red wines and compare the performance of two rapid profiling methods – check‐all‐that‐apply (CATA) and
Yeonjoo Yeo +5 more
wiley +1 more source
Enhancement of cryptography algorithms for security of cloud-based IoT with machine learning models. [PDF]
Qasem MA +5 more
europepmc +1 more source
ABSTRACT Soil organic carbon (SOC), as a key indicator of global carbon cycling and climate change response, plays a critical role in regional ecological security and agricultural sustainability. This study employs three machine learning models including the LightGBM, XGBoost, and random forest to simulate the spatial distribution of topsoil SOC stocks
Xinxin Jin +7 more
wiley +1 more source
A hybrid XGBoost-SVM ensemble framework for robust cyber-attack detection in the internet of medical things (IoMT). [PDF]
Abdelhaq M +5 more
europepmc +1 more source

