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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.

169,341 papers · 148 categories

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48 results for Japanese credit market

Detects the backbone of Japanese credit market relationships over 30 years.

problem Understanding the structure of credit relationships in the Japanese market.
method Adapting a method for weighted networks to detect a backbone, validating against a null hypothesis of uniform diversification.
result Identifies changes in network size, credit fraction, and bank/firm attributes over time.

An analysis of the Japanese credit market in 2004 between banks and quoted firms is done in this paper using the tools of the networks theory. It can be pointed out that: (i) a backbone of the credit channel emerges, where some links play a crucial role; (ii) big banks privilege long-term contracts; the "minimal spanni…

2009-01-16abs ↗pdf ↗

Examines how extending home loan durations affects French households financially.

problem Financial implications for households with extended home loan durations.
method Analysis of French and international home loan systems, including bullet loans and Japanese home loans.
result Extending home loan durations can reduce monthly payments but raises financial risks.

We present an analysis of the credit market of Japan. The analysis is performed by investigating the bipartite network of banks and firms which is obtained by setting a link between a bank and a firm when a credit relationship is present in a given time window. In our investigation we focus on a community detection alg…

2014-07-21abs ↗pdf ↗

Study on market integration of Japanese rice markets using telegraph and telephone policies.

problem Understanding market integration in prewar Japanese rice markets.
method Non-Bayesian time-varying vector error correction model, analyzing government policies on telegraph and telephone networks.
result Market integration occurred in the 1910s, with telegraph use accelerating integration and telephone system improvement promoting it.

Study finds varying market efficiency in prewar and wartime Japanese stock market.

problem Measuring market efficiency in prewar and wartime Japanese stock market.
method Using a new market capitalization-weighted stock price index, the study examines market efficiency over time and historical events.
result The adaptive market hypothesis is supported in the prewar and wartime Japanese stock market, with efficiency varying over time and with historical events.

This study evaluates prewar Japanese financial market efficiency using time-varying models.

problem Determining when prewar Japanese financial market lost its price formation function.
method Time-varying parameter model, generalized least squares-based time-varying vector autoregressive model.
result The prewar Japanese financial market lost its price formation function in 1932.

We investigated the network structures of the Japanese stock market through the minimum spanning tree. We defined grouping coefficient to test the validity of conventional grouping by industrial categories, and found a decreasing in trend for the coefficient. This phenomenon supports the increasing external influences …

2007-08-03abs ↗pdf ↗

Study examines asymmetry impacts on Japanese stock market volatility modeling and forecasting.

problem Understanding asymmetry's impact on modeling and forecasting realized volatility in Japanese stock markets.
method Employed heterogeneous autoregressive (HAR) models with three types of asymmetry: positive and negative realized semivariance, asymmetric jumps, and leverage effects.
result Leverage effects significantly influence realized volatility modeling and forecast performance in Japanese stock markets.

Study examines market reactions and spillovers in Japanese bank mergers using multiple methods.

problem Understanding valuation and spillover effects of bank mergers in the Japanese banking sector.
method Combines event study, VAR models, IRFs, and PSM to analyze two M&A events.
result Significant positive market reaction and prolonged positive spillovers detected.

Study on time-varying APT validity in Japanese stock market.

problem Validity of Arbitrage Pricing Theory (APT) in Japanese stock market over time.
method Rolling window method applied to Fama and MacBeth's two-step regression and Kamstra and Shi's generalized GRS test.
result APT validity is unstable over time in Japanese stock market, influenced by monetary policy and business cycle.

The persistence phenomenon is studied in the Japanese financial market by using a novel mapping of the time evolution of the values of shares quoted on the Nikkei Index onto Ising spins. The method is applied to historical end of day data from the Japanese stock market during 2002. By studying the time dependence of th…

2008-03-04abs ↗pdf ↗

We investigated the temporally evolving network structures of the Japanese and Korean stock markets through the minimum spanning trees composed of listed stocks. We tested the validity of conventional grouping by industrial categories, and found a common trend of decrease for Japan and Korea. This phenomenon supports t…

2005-11-27abs ↗pdf ↗

Study improves Cox model for predicting stock trading signs using Japanese market data.

problem Improving Cox model for predicting stock trading signs using Japanese market data.
method Added new covariates and used high-frequency trading data for 222 Nikkei 225 stocks.
result Cox-type model performs well in Japanese market and identifies key factors for accurate estimation.

Quantum neural network and tensor network models outperform classical models in Japanese stock market predictions.

problem Improving stock return predictions using quantum and quantum-inspired machine learning.
method Evaluation of quantum neural network and tensor network models against classical models like linear and neural networks.
result Tensor network model outperforms classical models in Japanese stock market, including linear and neural network models.

We investigate scaling and memory effects in return intervals between price volatilities above a certain threshold qq for the Japanese stock market using daily and intraday data sets. We find that the distribution of return intervals can be approximated by a scaling function that depends only on the ratio between the …

2007-09-11abs ↗pdf ↗

Study finds no significant impact of US sovereign credit rating downgrade on equity market.

problem Impact of US sovereign credit rating downgrade on US equity market.
method Event study methodology using three companies and S&P500 index.
result No significant effects of US sovereign credit rating downgrade on US equity market.

We perform an extended analysis of the distribution of drawdowns in the two leading exchange markets (US dollar against the Deutsmark and against the Yen), in the major world stock markets, in the U.S. and Japanese bond market and in the gold market, by introducing the concept of ``coarse-grained drawdowns,'' which all…

2002-10-23abs ↗pdf ↗

Develops a three-currency HJM framework for Brazilian credit markets, finding significant credit spread differences between indexed segments.

problem Identifies and quantifies differences in corporate credit spreads between two parallel segments of the Brazilian bond market.
method Uses a Heath-Jarrow-Morton framework to model corporate credit as a separate economy, linking it to nominal and real economies through synthetic rates.
result Empirically finds a 640 basis point average difference in credit spreads between CDI-indexed and IPCA-indexed segments, stable through market cycles.

Model assesses loan profitability under changing credit conditions.

problem Financial institutions face risks of default and prepayment.
method Develops a Random Net Present Value (RNPV) model to evaluate profitability.
result Mean and variance of RNPV calculated at individual and portfolio levels.

Private credit markets have expanded significantly, offering unique lending technology to private equity firms.

problem Understanding the growth and characteristics of private credit markets.
method Systematic survey of academic literature, development of integrated theoretical framework, empirical evidence.
result Private credit markets offer a distinct lending technology with higher spreads over syndicated loans.

This paper explores using graph neural networks for stock market predictions, improving accuracy with richer data.

problem Limited accuracy in financial market predictions using traditional methods.
method Combines graph neural networks with company knowledge graphs for better prediction.
result Significant improvement in prediction accuracy compared to benchmarks.

A new model uses a Levy-driven process to value credit index swaptions.

problem Valuation of credit index swaptions in financial markets.
method Proposes a Levy-driven Ornstein-Uhlenbeck process to model risk-free rate and default intensities.
result Derives formulas for characteristic function, moments, and stationary distribution.

This work models GHG offset credit markets to find optimal strategies for market participants.

problem Optimizing GHG offset credit markets to reduce emissions and penalize excess emissions.
method Characterized optimal behavior in single-player and two-player GHG offset credit markets using optimal stopping and control problems, and mixed-Nash equilibria.
result Market participants benefit from optimal OC trading and generation, highlighting the importance of acting optimally.

New model prices collateralized financial derivatives considering bankruptcy laws.

problem Inaccurate pricing of collateralized financial derivatives due to neglecting collateral and credit risk.
method Developed a new model that incorporates both collateral posting and credit risk.
result Proper accounting for collateralization is crucial for accurate pricing of financial derivatives.

We give a comprehensive review of credit term structure modeling methodologies. The conventional approach to modeling credit term structure is summarized and shown to be equivalent to a particular type of the reduced form credit risk model, the fractional recovery of market value approach. We argue that the corporate p…

2009-12-23abs ↗pdf ↗

Study explores financial market linkages between Japan and US markets.

problem Inconsistency in empirical studies regarding financial market causal linkages.
method Causal discovery methods including VAR-LiNGAM and LPCMCI with domain knowledge.
result VAR-LiNGAM reveals causal influences among financial markets, while LPCMCI identifies potential latent confounders.

In this paper we examine inefficiencies and information disparity in the Japanese stock market. By carefully analysing information publicly available on the internet, an `outsider' to conventional statistical arbitrage strategies--which are based on market microstructure, company releases, or analyst reports--can never…

2010-03-03abs ↗pdf ↗

This paper examines the possibility of using derivative-implied risk premia to explain stock returns. The rapid development of derivative markets has led to the possibility of trading various kinds of risks, such as credit and interest rate risk, separately from each other. This paper uses credit default swaps and equi…

2010-05-30abs ↗pdf ↗

New model values CDS contracts considering multiple credit risks and collateralization.

problem Valuation of CDS contracts affected by multiple credit risks and collateralization.
method Developed a new model to value CDS contracts, considering default dependency and collateralization.
result Default dependency significantly impacts asset pricing and full collateralization does not eliminate counterparty risk.

In this paper, we quantitatively investigate the properties of a statistical ensemble of stock prices. We focus attention on the relative price defined as X(t)=S(t)/S(0) X(t) = S(t)/S(0) , where S(0) S(0) is the initial price. We selected approximately 3200 stocks traded on the Japanese Stock Exchange and formed a statistical ensem…

2005-10-07abs ↗pdf ↗

Investment strategy optimized for markets and credit risks.

problem Optimal investment/consumption problem in models with market and credit risk dependencies.
method Martingale approach and analysis of nonlinear Hamilton-Jacobi-Bellman equations transformed into semi-linear PDEs.
result Explicit representations for optimal strategy, consumption path, and wealth process.

Study amplifies systemic risk in interbank markets due to credit and liquidity shocks.

problem Systemic risk in interbank markets due to credit and liquidity shocks.
method Defined Debt-Solvency Rank to estimate amplification of losses, implemented on European banks dataset.
result Liquidity spillovers substantially increase systemic risk and cannot be neglected in stress-test scenarios.

Axient creates a blockchain protocol for managing leveraged event markets, separating roles and formalizing capital management.

problem Managing credit and losses in leveraged event markets on a blockchain.
method Develops a venue-agnostic on-chain credit architecture, formalizing roles and capital management.
result Establishes a balanced accounting system, settlement-confirmed debt priority, and loss-allocation mechanisms.

In this work we derive an approximated no-arbitrage market valuation formula for Constant Maturity Credit Default Swaps (CMCDS). We move from the CDS options market model in Brigo (2004), and derive a formula for CMCDS that is the analogous of the formula for constant maturity swaps in the default free swap market unde…

2008-12-22abs ↗pdf ↗