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Results for “borrow” · papers 18 · wiki 10
Academic Papers · 18arXiv q-fin live 8 · desk corpus 29
arXiv · arXiv q-fin · 2017

Constrained portfolio-consumption strategies with uncertain parameters and borrowing costs

This paper studies the properties of the optimal portfolio-consumption strategies in a {finite horizon} robust utility maximization framework with different borrowing and lending rates. In particular, we allow for constraints on both investment and consumption strategies, and model uncertainty on both drift and volatility. With the help of explicit solutions, we quantify the impacts of uncertain market parameters, po

Zhou Yang, Gechun Liang, Chao Zhou
arXiv · arXiv q-fin · 2014

Portfolio Optimization in the Financial Market with Correlated Returns under Constraints, Transaction Costs and Different Rates for Borrowing and Lending

In this work, we consider the optimal portfolio selection problem under hard constraints on trading amounts, transaction costs and different rates for borrowing and lending when the risky asset returns are serially correlated. No assumptions about the correlation structure between different time points or about the distribution of the asset returns are needed. The problem is stated as a dynamic tracking problem of a

Vladimir Dombrovskii, Tatyana Obedko
arXiv · arXiv · 2026

Optimal Consumption and Portfolio Choice with No-Borrowing Constraint in the Kim-Omberg Model: The Complete Market Case

In this paper, we study an intertemporal utility maximization problem in which an investor chooses consumption and portfolio strategies in the presence of a stochastic factor and a no-borrowing constraint. In the spirit of the Kim-Omberg model, the stochastic factor represents the expected excess return of the risky asset. It is perfectly negatively correlated with shocks to the risky asset, and follows an Ornstein-U

Giorgio Ferrari, Tim Niclas Schütz
arXiv · arXiv · 2024

Testing by Betting while Borrowing and Bargaining

Testing by betting has been a cornerstone of the game-theoretic statistics literature. One bets against the null hypothesis, and the accumulated wealth $W_t$ quantifies the evidence against the null hypothesis after $t$ rounds, and the null can be rejected at level $α$ whenever $W_t \geq 1/α$. A key assumption permeating the literature is that one cannot bet more money than they currently have (the wealth must stay n

Hongjian Wang, Wouter M. Koolen, Aaditya Ramdas
arXiv · arXiv · 2020

Change of measure under the hard-to-borrow model

As the Securities and Exchange Commission(SEC) has implemented a new regulation on short-sellings, short-sellers are required to repurchase stocks once the clearing risk rises to a certain level. Avellaneda and Lipkin proposed a fully coupled SDE system to describe the mechanism which is referred as Hard-To-Borrow(HTB) models. Guiyuan Ma obtained the PDE system for both American and European options. There is a techn

Peng Liu
arXiv · arXiv · 2019

Recommendation Engine for Lower Interest Borrowing on Peer to Peer Lending (P2PL) Platform

Online Peer to Peer Lending (P2PL) systems connect lenders and borrowers directly, thereby making it convenient to borrow and lend money without intermediaries such as banks. Many recommendation systems have been developed for lenders to achieve higher interest rates and avoid defaulting loans. However, there has not been much research in developing recommendation systems to help borrowers make wise decisions. On P2P

Ke Ren, Avinash Malik
arXiv · arXiv q-fin · 2020

DeFi Protocols for Loanable Funds: Interest Rates, Liquidity and Market Efficiency

We coin the term *Protocols for Loanable Funds (PLFs)* to refer to protocols which establish distributed ledger-based markets for loanable funds. PLFs are emerging as one of the main applications within Decentralized Finance (DeFi), and use smart contract code to facilitate the intermediation of loanable funds. In doing so, these protocols allow agents to borrow and save programmatically. Within these protocols, inte

Lewis Gudgeon, Sam M. Werner, Daniel Perez, William J. Knottenbelt
arXiv · arXiv q-fin · 2019

Liquidity in Credit Networks with Constrained Agents

In order to scale transaction rates for deployment across the global web, many cryptocurrencies have deployed so-called "Layer-2" networks of private payment channels. An idealized payment network behaves like a Credit Network, a model for transactions across a network of bilateral trust relationships. Credit Networks capture many aspects of traditional currencies as well as new virtual currencies and payment mechani

Geoffrey Ramseyer, Ashish Goel, David Mazieres
arXiv · arXiv q-fin · 2017

Mini-Flash Crashes, Model Risk, and Optimal Execution

Oft-cited causes of mini-flash crashes include human errors, endogenous feedback loops, the nature of modern liquidity provision, fundamental value shocks, and market fragmentation. We develop a mathematical model which captures aspects of the first three explanations. Empirical features of recent mini-flash crashes are present in our framework. For example, there are periods when no such events will occur. If they d

Erhan Bayraktar, Alexander Munk
arXiv · arXiv q-fin · 2024

On-Chain Credit Risk Score in Decentralized Finance

Decentralized Finance (DeFi), a financial ecosystem without centralized controlling organization, has introduced a new paradigm for lending and borrowing. However, its capital efficiency remains constrained by the inability to effectively assess the risk associated with each user/wallet. This paper introduces the 'On-Chain Credit Risk Score (OCCR Score) in DeFi', a probabilistic measure designed to quantify the credi

Rik Ghosh, Arka Datta, Vidhi Aggarwal, Sudipan Sinha, Rajdeep Sengupta
arXiv · arXiv q-fin · 2023

Exploiting Unfair Advantages: Investigating Opportunistic Trading in the NFT Market

As cryptocurrency evolved, new financial instruments, such as lending and borrowing protocols, currency exchanges, fungible and non-fungible tokens (NFT), staking and mining protocols have emerged. A financial ecosystem built on top of a blockchain is supposed to be fair and transparent for each participating actor. Yet, there are sophisticated actors who turn their domain knowledge and market inefficiencies to their

Priyanka Bose, Dipanjan Das, Fabio Gritti, Nicola Ruaro, Christopher Kruegel
arXiv · arXiv q-fin · 2021

Costly Trading

We revisit optimal execution of an active portfolio in the presence of slippage (aka linear, proportional, or absolute-value) costs. Market efficiency implies a close balance between active alphas and trading costs, so even small changes to trading optimization can make a big difference. It has been observed for some time that optimal trading involves a pattern of a no-trade zone with width $Δ$ increasing with slippa

Michael Isichenko
arXiv · arXiv · 2024

Cross-Currency Basis Swaps Referencing Backward-Looking Rates

The financial industry has undergone a significant transition from the London Interbank Offered Rates (LIBORs) to Risk Free Rates (RFRs) such as, e.g., the Secured Overnight Financing Rate (SOFR) in the U.S. and the Cash Rate (AONIA) in Australia, as primary benchmark rates for borrowing costs. The paper examines the pricing and hedging method for financial products in a cross-currency framework with the special emph

Yining Ding, Ruyi Liu, Marek Rutkowski
arXiv · arXiv · 2016

Is the public sector of your country a diffusion borrower? Empirical evidence from Brazil

We propose a diffusion process to describe the global dynamic evolution of credit operations at a national level given observed operations at a subnational level in a sovereign country. Empirical analysis with a unique dataset from Brazilian federate constituents supports the conclusions. Despite the heterogeneity observed in credit operations at a subnational level, the aggregated dynamics at a national level were a

Leno S. Rocha, Frederico S. A. Rocha, Thársis T. P. Souza
arXiv · arXiv · 2022

Liquidity Risks in Lending Protocols: Evidence from Aave Protocol

Lending Protocols (LPs), as blockchain-based lending systems, allow any agents to borrow and lend cryptocurrencies. However, liquidity risks could occur, especially when salient loans are initiated by a particular group of borrowers. This paper proposes measurements of liquidity risks, focusing on both available liquidity and market concentration in LPs. By using Aave as a case study, we find that liquidity risks are

Xiaotong Sun, Charalampos Stasinakis, Georgios Sermpinis
arXiv · arXiv · 2022

Method of indirect estimation of default probability dynamics for industry-target segments according to the data of Bank of Russia

A direct method for calculating default rates by industry and target corporate segments is not possible given the lack of statistical data. The proposed paper considers a model for filtering the dynamics of the probability of default of corporate companies and other borrowers based on indirect data on the dynamics of overdue debt supplied by the Bank of Russia. The model is based on the equation of the balance of tot

Mikhail Pomazanov
arXiv · arXiv · 2020

Competition analysis on the over-the-counter credit default swap market

We study two questions related to competition on the OTC CDS market using data collected as part of the EMIR regulation. First, we study the competition between central counterparties through collateral requirements. We present models that successfully estimate the initial margin requirements. However, our estimations are not precise enough to use them as input to a predictive model for CCP choice by counterparties i

Louis Abraham
arXiv · arXiv · 2018

A Consistent Stochastic Model of the Term Structure of Interest Rates for Multiple Tenors

Explicitly taking into account the risk incurred when borrowing at a shorter tenor versus lending at a longer tenor ("roll-over risk"), we construct a stochastic model framework for the term structure of interest rates in which a frequency basis (i.e. a spread applied to one leg of a swap to exchange one floating interest rate for another of a different tenor in the same currency) arises endogenously. This rollover r

Mesias Alfeus, Martino Grasselli, Erik Schlögl
Wiki Entities · 10
Credit

Debt Covenant

A debt covenant is a contractual limit on the borrower — maintain a ratio, not do a thing, or report a thing — that turns a miss into a default or a fee.

Economics

Crowding Out

Crowding out is when public borrowing or spending raises rates or absorbs real resources so private investment or net exports fall, shrinking the net fiscal impulse.

Emerging Markets

Original Sin EM Debt

Original Sin EM Debt — Inability to borrow long-term in local currency, raising external vulnerability.

Liquidity

Commercial Paper Spread

Commercial paper spreads track the cost of short-term corporate borrowing relative to safer benchmarks and help identify stress in corporate funding markets.

Liquidity

Discount Window Borrowing

Discount Window borrowing measures bank use of Federal Reserve emergency liquidity and serves as a signal of funding pressure and banking-sector strain.

Microstructure

Securities Lending Fee

Securities Lending Fee — Cost to borrow stock for shorting — spikes signal specialness and squeeze risk.

Microstructure

Short Selling

Short selling is selling a borrowed security, hoping to buy it back cheaper — a negative inventory financed by the borrow.

Rates

Repo Rate

Repo rates reflect the cost of short-term secured borrowing against collateral and are central to understanding liquidity, Treasury market functioning, and funding stress.

Strategies

Short Interest Effect — Long-Short

Short high short-interest names and long low short-interest names — crowding and borrow as a cross-sectional signal.

Strategies

Synthetic Lending Rates Predict Market Return

Time the equity index with a borrow/lending-fee composite — when synthetic shorting is expensive, the tape is crowded the other way.

Option Blackboard · 0
No Option Blackboard entries matched.
Encyclopedia · 10
Liquidity · Foundations

Commercial Paper Spread

Commercial paper spreads track the cost of short-term corporate borrowing relative to safer benchmarks and help identify stress in corporate funding markets.

Economics · Foundations

Crowding Out

Crowding out is when public borrowing or spending raises rates or absorbs real resources so private investment or net exports fall, shrinking the net fiscal impulse.

Credit · Foundations

Debt Covenant

A debt covenant is a contractual limit on the borrower — maintain a ratio, not do a thing, or report a thing — that turns a miss into a default or a fee.

Liquidity · Foundations

Discount Window Borrowing

Discount Window borrowing measures bank use of Federal Reserve emergency liquidity and serves as a signal of funding pressure and banking-sector strain.

Emerging Markets · Foundations

Original Sin EM Debt

Original Sin EM Debt — Inability to borrow long-term in local currency, raising external vulnerability.

Rates · Foundations

Repo Rate

Repo rates reflect the cost of short-term secured borrowing against collateral and are central to understanding liquidity, Treasury market functioning, and funding stress.

Microstructure · Foundations

Securities Lending Fee

Securities Lending Fee — Cost to borrow stock for shorting — spikes signal specialness and squeeze risk.

Strategies · Foundations

Short Interest Effect — Long-Short

Short high short-interest names and long low short-interest names — crowding and borrow as a cross-sectional signal.

Microstructure · Foundations

Short Selling

Short selling is selling a borrowed security, hoping to buy it back cheaper — a negative inventory financed by the borrow.

Strategies · Foundations

Synthetic Lending Rates Predict Market Return

Time the equity index with a borrow/lending-fee composite — when synthetic shorting is expensive, the tape is crowded the other way.

Cards · 0
No cards matched.
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