Relevant bibliographies by topics / Sam Bankman-Fried

Academic literature on the topic 'Sam Bankman-Fried'

Author: Grafiati
Published: 26 July 2024

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Journal articles on the topic "Sam Bankman-Fried"

1

Chohan, Usman W. "FTX, Sam Bankman-Fried, and Elite Capture." SSRN Electronic Journal, 2023. http://dx.doi.org/10.2139/ssrn.4350992.

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Chohan, Usman W. "FTX, Sam Bankman-Fried, and the Cryptoexchange Problem." SSRN Electronic Journal, 2023. http://dx.doi.org/10.2139/ssrn.4326161.

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Vasudevan, Ramaa. "Crypto Convulsions, Digital Delusions, and the Inexorable Logic of Finance Capitalism." Monthly Review, December 1, 2022, 29–45. http://dx.doi.org/10.14452/mr-074-07-2022-11_3.

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The crypto winter, Ramaa Vasudevan writes, is here. Cryptocurrency, far from being a democratizing force in finance, has led to only further concentrations of wealth and power and increased precarity within the financial sector. The recent fall of Sam Bankman-Fried is only the beginning.
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O'Callaghan, Jonathan. "Sam Bankman-Fried sentencing: crypto-funded researchers grapple with FTX collapse." Nature, March 28, 2024. http://dx.doi.org/10.1038/d41586-024-00960-6.

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5

Metts, Stephanie, and Martin S. Bressler. "From Fraudsters to Scammers and Cyber-Villains, Tech-Savvy Criminals Are Out to Steal Your Money." Journal of Accounting and Finance 23, no. 4 (October 13, 2023). http://dx.doi.org/10.33423/jaf.v23i4.6450.

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Today, more than ever before, criminals are out to steal from your business. However, today, criminals not only use organized shoplifting gangs and engage in armed robberies, but they now also use computers and the internet. Bernie Madoff and Sam Bankman-Fried have joined the lengthy list of well-known criminals before Charles Ponzi. The Fraud Triangle (Cressey, 1973) is based upon Opportunity, Incentive, and Rationalization. The COVID-19 pandemic created a perfect storm of opportunity for would-be scammers. The federal government fueled opportunity with $800 billion in COVID relief funding for the Paycheck Protection Program and up to $400 billion for COVID unemployment relief. According to the Association of Certified Fraud Examiners (ACFE) small businesses are often targeted as they tend to have fewer safeguards in place to prevent fraud. The ACFE reports that the average loss for a small business fraud is $100,000 and an average of five percent of annual revenue. In this paper, the authors provide an overview of current fraud activities and a study of the Traits of Sympathy survey to help examine whether a relationship exists between one’s rationalization and sympathy in their decision to commit fraud in the pre-fraud state. We present research findings and offer recommendations.
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Books on the topic "Sam Bankman-Fried"

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Williams, Melissa R. SAM BANKMAN-FRIED BOOK : Crypto Firm FTX's Founder Sam Bankman-Fried Charged with 'scheme' to Defraud and Denied Bail?: /Everything You Need to Know about This Disheartening Happening/ . Independently Published, 2022.

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Dias, Jahoub. Sam Bankman-Fried: La Caída de un Rey de Las Criptomonedas - Biografía e Investigaciones. Independently Published, 2022.

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Book chapters on the topic "Sam Bankman-Fried"

1

R., Valarmathi, V. K. G. Kalaiselvi, G. Jagadeesh, R. Uma, and P. Ramkumar. "Forging an Ethical Paradigm With Moral Integrity in the Realm of Crypto Currency Investment." In Machine Learning and Cryptographic Solutions for Data Protection and Network Security, 457–75. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-4159-9.ch027.

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The integration of AIML in cryptocurrency trading raises ethical concerns, demanding a thorough examination of accountable approaches. This research focuses on evaluating the outcomes of AI and ML in cryptocurrency trading, emphasizing the need for innovative regulatory strategies. Utilizing critical case studies like Sam Bankman-Fried (SBF) and FTX and reviewing relevant literature, it explores the ethical dimensions of AI and ML in this domain. The study advocates for regulatory frameworks that accommodate digital assets' unique features while aligning with existing legal structures. It proposes a structural framework for AI and ML-driven trading, juxtaposing it with alternative ethical theories. From an outcome-oriented perspective, the research emphasizes balancing the potential of AI and ML with ethical considerations, ensuring market integrity, safeguarding investor interests, and promoting overall welfare in the cryptocurrency trading landscape.
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