使用零知识证明的对冲基金投资合规

IF 1.4 Q3 ECONOMICS
K. Kalra
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引用次数: 0

摘要

金融监管是一种使金融机构受到一定要求和限制的合规制度。投资合规是一个涉及代表投资者进行投资限制和监督的例子。对冲基金不同于共同基金等其他传统基金,因为它们有能力采用复杂的投资和对冲技术。这些都是私人实体,几乎没有公开披露的要求。这在某种程度上是有用的,因为所使用的策略是保密的,这使得金融代理人可以参与金融市场,而不必担心信息泄露,从而促进流动性。然而,这通常被暗示为缺乏透明度。人们期望对冲基金产生更高的回报,但有时投资者在追求更高回报的同时,也会寻求风险保证。然而,过多的透明度排除了金融实体首先参与的激励。另一方面,过多的保密可能会导致恶意实体因缺乏合规性而破坏规则。我们的目标是解决这个问题,保护投资者,同时确保金融机构的隐私使用零知识证明。证明可以可视化为投资者提供足够信息的一种方式,而证明的零知识属性保持了基金经理策略的隐私性。我们提出了一个协议来解决这个问题,使用Zokrates,一个在以太坊上使用Zk-SNARKs进行可验证计算的框架,来编码约束并导出验证器。根据我们的实现和分析,可以得出结论,零知识证明为我们提供了多种开发遵从性的方法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investment Compliance in Hedge Funds using Zero Knowledge Proofs
Financial Regulation is a form of compliance system that subjects financial institutions to certain requirements and restrictions. Investment Compliance is an example that involves investment restrictions and monitoring on behalf of investors. Hedge Funds differ from other traditional funds such as mutual funds because of their ability to employ complex investment and hedging techniques. These are private entities with few public disclosure requirements. This is useful in a way as the strategies used are confidential which allows financial agents to participate in the financial markets without any fear of information leakage, thereby promoting liquidity. However, this is often implied as the lack of transparency. Hedge Funds are expected to produce higher returns, but sometimes investors seek a risk guarantee in addition to higher returns. However, too much transparency rules out the incentives financial entities have by participating in the first place. On the other hand, too much secrecy may give rise to malicious entities that can break the rules due to a lack of compliance. We aim to solve this problem of protecting investors while ensuring the privacy of financial bodies using zero knowledge proofs. Proofs can be visualised as a way of providing enough information to investors while the zero-knowledge property of proofs maintains the privacy of the fund manager’s strategies. We propose a protocol to address this scenario using Zokrates, a framework for verifiable computation using Zk-SNARKs on Ethereum, to encode the constraints and export the verifier. Based on our implementation and analysis, it can be concluded that zero knowledge proofs provide us with a variety of ways to develop compliance
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