Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Ben Charoenwong"'
Publikováno v:
IEEE Access, Vol 11, Pp 103201-103213 (2023)
Computer science uses abstractions as a tool for reasoning. It is no surprise that computer science might have something valuable to lend to the world of decentralized stablecoin design, as it is a “computing” problem. In this paper, we examine t
Externí odkaz:
https://doaj.org/article/799a10b6dd0c4c4190d798fc6c7fdd5f
Autor:
Ben Charoenwong, Pooja Reddy
Publikováno v:
PLoS ONE, Vol 17, Iss 6, p e0268965 (2022)
We use a rich set of transaction data from a large retailer in India and a dataset on bribe payments to train random forest and XGBoost models using empirical measures guided by Benford's Law, a commonly used tool in forensic analytics. We evaluate t
Externí odkaz:
https://doaj.org/article/97e519724eae4b99a2a592497bc04b45
Publikováno v:
Manufacturing & Service Operations Management. 25:126-147
Problem definition: The uncertainty around trade and foreign economic policy contributes to supply chain risk. Academic/practical relevance: Whether such policy uncertainty will bring some production back to the United States or only redistribute the
Publikováno v:
The Singapore Economic Review. :1-21
We study the effect of exchange rate fluctuations on foreign corporate investment flows to Singaporean firms using a linear reduced-form empirical specification on data from the past decade. Overall, we find that the cost of debt capital falls on ave
Publikováno v:
Review of Finance. 25:713-743
From January 2011 through March 2018, the Bank of Japan purchased equity index exchange-traded funds (ETFs) worth about 3.5% of GDP. Identification of the effect of central bank ETF purchases on stock valuations and corporate responses is via differe
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Autor:
Ben Charoenwong, Pooja Reddy
Publikováno v:
PloS one. 17(6)
We use a rich set of transaction data from a large retailer in India and a dataset on bribe payments to train random forest and XGBoost models using empirical measures guided by Benford’s Law, a commonly used tool in forensic analytics. We evaluate