A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Funds inflate their returns due to price pressure, leading to wealth reallocation and market crashes.
Paper develops models to forecast private equity fund cash flows.
We propose a unified structural credit risk model incorporating both insolvency and illiquidity risks, in order to investigate how a firm's default probability depends on the liquidity risk associated with its financing structure. We assume the firm finances its risky assets by mainly issuing short- and long-term debt.…
New framework replicates private equity performance using AI and liquid strategies.
Study simulates liquidity in fractional ownership markets using ABM.
LLMs improve stock price forecasting from financial news and reports.
Dynamic model considers private asset markets' complexities.
Credit and liquidity risks represent main channels of financial contagion for interbank lending markets. On one hand, banks face potential losses whenever their counterparties are under distress and thus unable to fulfill their obligations. On the other hand, solvency constraints may force banks to recover lost funding…
Study on Spanish households' investment choices in housing, deposits, and stocks.
Study reveals how illiquidity network signals Chinese stock market crashes.
Optimizes asset allocation with illiquid assets using MPC.
Framework improves risk neutral density estimation in illiquid markets.
The article models illiquid stocks using quantum calculus with asymptotic methods.
Paper examines trade/no trade patterns in illiquid stocks, highlighting effects of varying zero returns probabilities.
Study models illiquid stock prices and finds low correlation due to constant prices.
Model simulates sparse order books in illiquid markets.
We study a problem of optimal investment/consumption over an infinite horizon in a market consisting of a liquid and an illiquid asset. The liquid asset is observed and can be traded continuously, while the illiquid one can only be traded and observed at discrete random times corresponding to the jumps of a Poisson pro…
New concept of illiquidity linked to credit risk, using Jarrow & Turnbull's analogy.
This work addresses the problem of optimal pricing and hedging of a European option on an illiquid asset Z using two proxies: a liquid asset S and a liquid European option on another liquid asset Y. We assume that the S-hedge is dynamic while the Y-hedge is static. Using the indifference pricing approach we derive a HJ…
We study a problem of optimal investment/consumption over an infinite horizon in a market consisting of two possibly correlated assets: one liquid and one illiquid. The liquid asset is observed and can be traded continuously, while the illiquid one can be traded only at discrete random times corresponding to the jumps …
Management of the portfolios containing low liquidity assets is a tedious problem. The buyer proposes the price that can differ greatly from the paper value estimated by the seller, the seller, on the other hand, can not liquidate his portfolio instantly and waits for a more favorable offer. To minimize losses in this …
Several models for the pricing of derivative securities in illiquid markets are discussed. A typical type of nonlinear partial differential equations arising from these investigation is studied. The scaling properties of these equations are discussed. Explicit solutions for one of the models are obtained and studied.
Develops optimal trading strategy for illiquid currency pairs.
Study portfolio optimization with an exponential utility function and illiquid asset.
A new relaxed framework for pricing illiquid derivatives using bid-ask spreads.
We study the problem of optimal pricing and hedging of a European option written on an illiquid asset using a set of proxies: a liquid asset , and liquid European options , each written on a liquid asset . We assume that the -hedge is dynamic while the multi-name -hedge is static. Usin…
The paper models Gasoil options using Brent benchmarks, improving volatility estimation.
One of the shortcomings of the Black and Scholes model on option pricing is the assumption that trading of the underlying asset does not affect the price of that asset. This assumption can be fulfilled only in perfectly liquid markets. Since most markets are illquid, this assumption might be too restrictive. Thus, taki…
Improved ARMA-GARCH model for illiquid assets like cryptocurrencies.
Investment strategy optimized in markets with transaction costs and search delays.
We propose an option approach for pricing bond illiquidity that is reminiscent of the celebrated work of Longstaff (1995) on the non-marketability of some non-dividend-paying shares in IPOs. This approach describes a quite common situation in the fixed income market: it is rather usual to find issuers that, besides liq…
Paper is based on "The cost of illiquidity and its effects on hedging", L. C. G. Rogers and Surbjeet Singh, 2010. We generalize its thesis to constant elasticity model, which own previously used Black-Schoels model as a special case. The Goal of this article is to find optimal hedging strategy of European call/put opti…
QCML improves bond similarity learning in illiquid markets.
We propose a novel approach for analysis of the composition of an equity mutual fund based on the time series decomposition of the price movements of the individual stocks of the fund. The proposed scheme can be applied to check whether the style proclaimed for a mutual fund actually matches with the fund composition. …
CDS (credit default swap) contracts that were initiated some time ago frequently have spreads and/or maturities that are not available on the current market of CDSs, and are thus illiquid. This article introduces an incomplete-market approach to valuing illiquid CDSs that, in contrast to the risk-neutral approach of cu…
Taylor's law of temporal fluctuation scaling, variance mean, is ubiquitous in natural and social sciences. We report for the first time convincing evidence of a solid temporal fluctuation scaling law in stock illiquidity by investigating the mean-variance relationship of the high-frequency illiquidity o…
We consider an optimal consumption/investment problem to maximize expected utility from consumption. In this market model, the investor is allowed to choose a portfolio which consists of one bond, one liquid risky asset (no transaction costs) and one illiquid risky asset (proportional transaction costs). We fully chara…
Introduces a new Lévy process for modeling illiquid markets.
This report was originally written as an industry white paper on Hedge Funds. This paper gives an overview to Hedge Funds, with a focus on risk management issues. We define and explain the general characteristics of Hedge Funds, their main investment strategies and the risk models employed. We address the problems in H…
Improved pricing method for illiquid assets using Lambert function.
Study on CEF discount in Bangladesh, finds size and maturity impact, turnover negative.
Paper finds funding rates on BitMEX predict Bitcoin inverse swap contracts.
Deep learning models predict mutual funds' performance better than traditional methods.
Management of a portfolio that includes an illiquid asset is an important problem of modern mathematical finance. One of the ways to model illiquidity among others is to build an optimization problem and assume that one of the assets in a portfolio can not be sold until a certain finite, infinite or random moment of ti…
This paper optimizes perpetual contract liquidity by accounting for funding rates.
This paper provides a framework for modeling the financial system with multiple illiquid assets when liquidation of illiquid assets is caused by failure to meet a leverage requirement. This extends the network model of Cifuentes, Shin & Ferrucci (2005) which incorporates a single asset with fire sales and capital adequ…
This paper examines the risk-adjusted performance and differential fund flows for socially responsible mutual funds (SRMF). The results show that SRMF rated high on ESG, perform better than lower rated ESG funds during the period of economic crisis. The findings also show that low ESG rated SRMF had higher differential…
Study finds Indian mutual funds adjust cash holdings based on inflows, impacting stock purchases.