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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.

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48 results for interbank liabilities

We analyze how errors in interbank liabilities affect the clearing vector in financial systems.

problem Estimation errors in interbank liabilities can lead to inaccuracies in the clearing vector, impacting risk assessments.
method We quantify the sensitivity of the clearing vector to estimation errors in the interbank liabilities matrix using a basis for permissible perturbations.
result We derive analytical solutions for the maximal deviations of the clearing vector and compute upper bounds for worst-case perturbations.

Study identifies key firms contributing to systemic risk in Austrian financial network.

problem Identifying systemic risk contributors in small open economies.
method Reconstructed and analyzed the largest financial liability network of Austria, consisting of firms and banks.
result Several medium-sized firms and banks are identified as systemically important, contributing more risk than banks alone.

Banks in the interbank network can not assess the true risks associated with lending to other banks in the network, unless they have full information on the riskiness of all the other banks. These risks can be estimated by using network metrics (for example DebtRank) of the interbank liability network which is availabl…

2013-01-25abs ↗pdf ↗

We report a study of a stylized banking cascade model investigating systemic risk caused by counter party failure using liabilities and assets to define banks' balance sheet. In our stylized system, banks can be in two states: normally operating or distressed and the state of a bank changes from normally operating to d…

2014-02-15abs ↗pdf ↗

New method reconstructs interbank networks enforcing reciprocity to improve stability and risk prediction.

problem Lack of public interbank network data and difficulty in replicating cycles.
method Proposes a new network reconstruction method enforcing sparsity and link reciprocity from aggregate data.
result Adding reciprocity improves prediction of network properties, including largest real eigenvalue and eccentricity of eigenvalues.

We introduce a general model for the balance-sheet consistent valuation of interbank claims within an interconnected financial system. Our model represents an extension of clearing models of interdependent liabilities to account for the presence of uncertainty on banks' external assets. At the same time, it also provid…

2016-06-16abs ↗pdf ↗

Modelling of contagion in interbank networks is discussed. A model taking into account bow-tie structure and dissasortativity of interbank networks is developed. The model is shown to provide a good quantitative description of the Russian interbank market. Detailed arguments favoring the non-percolative nature of conta…

2014-10-01abs ↗pdf ↗

Method reconstructs financial networks from aggregate data, revealing critical link density.

problem Reconstructing financial networks from aggregate data is challenging due to unreconstructability phases.
method Random graph generation with desired link density and replicated constraints.
result There is a critical link density below which networks become unreconstructable.

Systemic risks of default contagion in the Russian interbank market are investigated. The analysis is based on considering the bow-tie structure of the weighted oriented graph describing the structure of the interbank loans. A probabilistic model of interbank contagion explicitly taking into account the empirical bow-t…

2014-09-03abs ↗pdf ↗

We discuss the systemic risk implied by the interbank exposures reconstructed with the maximum entropy method. The maximum entropy method severely underestimates the risk of interbank contagion by assuming a fully connected network, while in reality the structure of the interbank network is sparsely connected. Here, we…

2017-03-05abs ↗pdf ↗

Paper uses interbank contagion to predict U.S. bank defaults, finding it highly explanatory.

problem Predicting U.S. bank defaults using interbank contagion.
method Regression and neural network models were used to analyze U.S. commercial bank data.
result Interbank contagion is highly explanatory in default prediction, often outperforming established metrics.

Study reveals multiple core-periphery structures in interbank markets, transforming during financial crises.

problem Understanding the complex structure and transformation of interbank markets during financial crises.
method Novel core-periphery detection method on eMID interbank market data.
result Interbank markets exhibit multiple core-periphery pairs and transition to bipartite structures over short time scales.

We propose a long term portfolio management method which takes into account a liability. Our approach is based on the LQG (Linear, Quadratic cost, Gaussian) control problem framework and then the optimal portfolio strategy hedges the liability by directly tracking a benchmark process which represents the liability. Two…

2013-03-16abs ↗pdf ↗

Proposes a new model to simulate interbank market liquidity risk.

problem Lack of complete interbank network data for systemic liquidity risk analysis.
method Epidemic model using funding liquidity shortage mechanism, enriched with country and bank risk features.
result Model successfully reproduces systemic liquidity risk across different years and countries.

This paper studies optimal investment from the point of view of an investor with longevity-linked liabilities. The relevant optimization problems rarely are analytically tractable, but we are able to show numerically that liability driven investment can significantly outperform common strategies that do not take the li…

2013-07-31abs ↗pdf ↗

Model shows how banks' fears of future defaults can cause immediate financial stress.

problem How banks' future default worries cause immediate financial stress.
method Dynamic interbank model with endogenous distress contagion, mark-to-market valuation adjustment, forward-backward approach.
result Distress contagion acts as a stochastic volatility term leading to clustering and down-market spikes.

Study shows self-exciting shocks increase systemic risk in interbank networks.

problem Systemic risk in interbank lending networks with self-exciting shocks.
method Mean-field model, weak convergence analysis, measure-valued process, law of large numbers.
result Self-exciting shocks increase systemic risk in interbank networks.

Study finds environmental liability insurance reduces industrial carbon emissions.

problem Reduction of industrial carbon emissions.
method Two-way fixed effect model using provincial (city) level panel data from 2010 to 2020.
result Environmental liability insurance reduces industrial carbon emissions at both direct and indirect levels, with varying effects.

Study uncovers that loan maturity layers in interbank networks are crucial for understanding their structure and functions.

problem Lack of maturity details in interbank lending networks hinders understanding of network structure and functions.
method Used a complete interbank loan contract dataset and applied the layered stochastic block model to investigate multiple maturity layers.
result Optimal maturity granularity reveals specific economic functions, such as liquidity intermediation and financing.

The study shows that limited liability can make banks more stable by choosing less risky assets.

problem How limited liability affects bank stability and risk management.
method Dynamic portfolio approach with continuous time models, including and excluding limited liability, and using the KMV model to measure resiliency.
result Inclusion of limited liability leads to a bank choosing less risky assets, increasing its resilience.

The interbank market has a natural multiplex network representation. We employ a unique database of supervisory reports of Italian banks to the Banca d'Italia that includes all bilateral exposures broken down by maturity and by the secured and unsecured nature of the contract. We find that layers have different topolog…

2013-11-19abs ↗pdf ↗

Study confirms eurozone interbank market stability but finds higher collateral reuse.

problem Analyzing eurozone interbank market behavior and stability.
method Examined secured transactions data from ECB, tested stylized facts, measured network properties.
result Observed higher collateral reuse and network symmetry compared to unsecured markets.

The study identifies relationship lending in interbank markets using statistical tests.

problem Lack of consensus on measuring relationship strength in lending between banks.
method Statistical tests to identify relationship lending as significant ties between banks.
result The fraction of relationship lending is stable and lenders impose high interest rates during financial distress.

Limited liability reduces leveraged risk in loan portfolio management models.

problem The impact of limited liability on risk in loan portfolio management models is not well understood.
method Formulated four models to analyze the effect of limited liability on risk and return in loan portfolio management.
result Including limited liability in loan portfolio management models produces better results in minimizing risk and maximizing expected return.

Dynamic network model forecasts interbank market link formation.

problem Forecasting interbank market link formation with time-varying topologies.
method Dynamic network model with past link existence and node-specific latent variables. Markov dynamics and EM algorithm for estimation.
result Forecasting future link presence and recognition of preferential lending.

Financial contagion from liquidity shocks has being recently ascribed as a prominent driver of systemic risk in interbank lending markets. Building on standard compartment models used in epidemics, in this work we develop an EDB (Exposed-Distressed-Bankrupted) model for the dynamics of liquidity shocks reverberation be…

2016-10-11abs ↗pdf ↗

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…

2016-04-22abs ↗pdf ↗

Stochastic model for pension insurer assets and liabilities with mortality risk.

problem Modeling assets and liabilities with mortality risk in pensions insurers.
method Multivariate stochastic process for asset and liability returns, capturing dynamics and dependencies.
result Efficient computation of a million scenarios on personal computers.

Paper assesses GMMB in VAs using FST for accurate net liability calculations.

problem Risk management of GMMB under stochastic mortality and regime-switching.
method Net liability model with FST algorithm for accurate numeric solutions.
result FST algorithm provides reliable results for net liability of GMMB.

Optimal interbank lending scheme with probabilistic bank failure constraints.

problem Optimizing interbank lending in a network of interconnected banks with probabilistic constraints on failure.
method Derive a closed-form solution for an optimal control problem, compute systemic relevance parameters.
result General solution for interbank lending with probabilistic constraints for all banks.

Study classifies liability insurance policies using machine learning.

problem Classifying liability insurance policies with or without claims.
method Used machine learning models like nearest neighbour and logistic regression on Actuarial Challenge dataset.
result Models accurately classified policies into claims and non-claims groups.