Emergence of Autocatalytic Reaction Networks

Mon, 27 Jun 2022 00:00:00 +0000

My work with Prof. Jun Korenaga develops a novel analytical model to explain the emergence of reflexivley autocatalytic and food-generated (RAF) sets in Kauffman networks. This work addresses a well-documented, but previously unexplained phenomena in the field. We show that the sudden probabilistic increase in the likelihood of observing autocatalysis arises from the disparity between the number of ways to select k unique molecule-reaction pairs and the number of ways to allocate minimally RAF sets among them. This perspective on RAF theory offers new insights into the underlying structure of Kauffman networks, particularly emphasizing the importance of catalytic cores.

Testing the Efficient Market Hypothesis in Peer-to-Peer Loan Markets

Mon, 27 Jun 2022 00:00:00 +0000

Founded in 2006, LendingClub pioneered the peer-to-peer lending space by providing a platform for investors and potential borrowers to connect. Individuals on the platform make decisions on which loans to fund on the basis of the debtor’s credit history and loan specifications.

As seen in LendingClub’s public reports, the majority of capital on the platform originates from institutional investors. Banks and managed accounts do not lend money to individuals, but rather invest in multiple loans at once. LendingClub’s reports classify loans by grade group, and present the performance of grade groups as a whole.

In this context, from an institutional investor’s perspective, the platform is similar to a bond market, with baskets of loans classified by grade acting as assets. We measure the value of a basket of loans by the returns it brings. With this framework, the goal of our project is to study the efficiency of LendingClub’s loan market to draw conclusions about the following:

Market Stability: Market efficiency is an integral component of stable markets which are characterized by their resilience to technological and demand shocks. Stable markets are also known to promote healthy fiscal environments in which economic decisions can be made without fear of unpredictable volatility and mis-valued assets.
Market Fairness: Efficient markets can be characterized as fair markets since under conditions of market efficiency, each participant is judged fairly on the basis of their creditworthiness. Therefore, an efficient market prevents discriminatory lending practices.

Our analysis of market efficiency is based on the Efficient Market Hypothesis (EMH). Published in 1970, Eugene Fama’s Noble Prize winning work classifies three classes of market efficiency:

Weak Form: The simplest of all three, the weak form of the EMH states that future asset prices cannot be predicted based on past performance.
Semi-Strong Form: The semi-strong of EMH states that asset prices spontaneously reflect all publicly available information.
Strong Form: The strong form of the EMH states that asset prices account for all public and private information. This final form of the hypothesis has the most lenient model assumptions, but is also the most difficult to test.

Our study touches upon each form of the EMH to answer the following questions:

Are the annual returns from LendingClub loans fully reflective of available return data?
Can publicly available information, such as macroeconomic indicators, be used to predict the returns on LendingClub loans?
Is there evidence for insider trading or other leakage of private information on the LendingClub platform?

Final Report

Past_projects | Varun Varanasi

Emergence of Autocatalytic Reaction Networks

Testing the Efficient Market Hypothesis in Peer-to-Peer Loan Markets