CODING CHALLENGES

代码题库

用接近 LeetCode 的题表进入训练:先筛选题目,再进入双栏题面和编辑器。每道题只展示它实际声明支持的语言。

继续刷题

题目列表

显示 18 / 646 道可提交题。 当前筛选:标签:Risk Quant,难度:困难

提交状态:未尝试未正确已正确
未尝试
coding-credit-portfolio-mc-loss-distribution订阅锁定
Credit Portfolio MC Loss Distribution (Single-Factor Gaussian Copula)

Credit Portfolio MC Loss Distribution (Single-Factor Gaussian Copula)

困难面试准备Python / C++ / Rust
未尝试
coding-empirical-copula-uniform-rank-transform订阅锁定
经验 Copula:按列均匀秩变换

Empirical Copula via Per-Column Uniform Rank Transform

困难面试准备Python / C++ / Rust
未尝试
coding-empirical-marginal-cdf-inverse-mapping可练习
经验逆 CDF 边际映射(Copula 流水线第二步)

Empirical Inverse-CDF Marginal Mapping (Copula Pipeline, Step Two)

困难免费版Python / C++ / Rust
未尝试
coding-empirical-mean-excess-function订阅锁定
用于 POT 阈值选择的经验均值超额函数

Empirical Mean Excess Function for POT Threshold Selection

困难面试准备Python / C++ / Rust
未尝试
coding-empirical-upper-tail-dependence订阅锁定
经验上尾相依系数:由二维联合样本估计

Empirical Upper-Tail-Dependence Coefficient from Bivariate Samples

困难面试准备Python / C++ / Rust
未尝试
coding-gaussian-copula-correlated-sample-via-cholesky可练习
通过 Cholesky 分解生成高斯 Copula 相关样本

Gaussian-Copula Correlated Samples via Cholesky Factorisation

困难免费版Python / C++ / Rust
未尝试
coding-gpd-tail-var-extrapolation订阅锁定
POT 框架下基于 GPD 的尾部 VaR 外推

GPD Tail-VaR Extrapolation under the POT Framework

困难面试准备Python / C++ / Rust
未尝试
coding-gumbel-copula-bivariate-cdf可练习
Bivariate Gumbel-Copula CDF Closed-Form Evaluation

Bivariate Gumbel-Copula CDF Closed-Form Evaluation

困难免费版Python / C++ / Rust
未尝试
coding-hill-estimator-tail-index订阅锁定
重尾损失分布尾指数的 Hill 估计

Hill Estimator for the Tail Index of a Heavy-Tailed Loss Distribution

困难面试准备Python / C++ / Rust
未尝试
coding-mahalanobis-distance-via-cholesky可练习
通过 Cholesky 前代法计算马氏距离

Mahalanobis Distance via Cholesky Forward-Solve

困难免费版Python / C++ / Rust
未尝试
coding-pareto-tail-var-via-hill-estimator订阅锁定
基于 Hill 估计的 Pareto 尾部 VaR 外推

Pareto Tail VaR via Hill-Estimator Extrapolation

困难面试准备Python / C++ / Rust
未尝试
coding-rank-correlation-spearman-kendall订阅锁定
Spearman 等级相关与 Kendall tau-b:copula 流水线上的双等级相关诊断

Spearman Rho and Kendall Tau-b: Dual Rank-Correlation Diagnostic for the Copula Pipeline

困难面试准备Python / C++ / Rust
未尝试
coding-realized-vol-jump-test-bnsh订阅锁定
Realized-Volatility Jump Test (Barndorff-Nielsen and Shephard)

Realized-Volatility Jump Test (Barndorff-Nielsen and Shephard)

困难面试准备Python / C++ / Rust
未尝试
coding-risk-budget-iterative-allocation订阅锁定
Risk-Budget Allocation via Iterative Fixed-Point

Risk-Budget Allocation via Iterative Fixed-Point

困难面试准备Python / C++ / Rust
未尝试
coding-rolling-window-variance-ratio-test订阅锁定
Rolling-Window Variance Ratio Test (Lo-MacKinlay)

Rolling-Window Variance Ratio Test (Lo-MacKinlay)

困难面试准备Python / C++ / Rust
未尝试
coding-spectral-risk-measure订阅锁定
谱风险度量 (Acerbi 2002)

Spectral Risk Measure (Acerbi 2002)

困难面试准备Python / C++ / Rust
未尝试
coding-t-copula-correlated-samples-given-noise可练习
通过 Cholesky 与卡方标度生成 t-Copula 相关样本

t-Copula Correlated Samples via Cholesky and Chi-Square Scaling

困难免费版Python / C++ / Rust
未尝试
coding-vasicek-portfolio-loss-quantile-asrf可练习
在置信度 alpha 下的 Vasicek ASRF 资本因子(Basel IRB)

Vasicek ASRF Capital Factor at Confidence Level Alpha (Basel IRB)

困难免费版Python / C++ / Rust