936 件 ・ 関連度順
概要と使いどころ
Builds mining project financial models with resource estimation, mine plan integration, and commodity price sensitivity analysis. Use when modeling mining investments, analyzing feasibility studies, or evaluating mineral assets.
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes construction risk with EPC contract review, delay and cost overrun scenarios, and completion guarantee structures. Use when modeling construction risk, evaluating EPC terms, or stress testing project timelines.
日本語の概要は準備中です。原文の説明を表示しています。
Calculates potential future exposure and CVA with simulation-based approaches and netting agreement analysis. Use when modeling counterparty exposure, calculating CVA/DVA, or assessing counterparty risk.
日本語の概要は準備中です。原文の説明を表示しています。
Builds credit fund portfolio models with yield attribution, default/recovery scenarios, and portfolio-level return analysis. Use when modeling credit funds, projecting portfolio returns, or analyzing yield components.
日本語の概要は準備中です。原文の説明を表示しています。
Builds PIK and PIK toggle models with compound interest analysis, cash vs PIK election scenarios, and leverage impact assessment. Use when modeling PIK instruments, analyzing toggle mechanics, or evaluating accrued interest impact.
日本語の概要は準備中です。原文の説明を表示しています。
Builds strip and tail-end fund models with remaining portfolio analysis, unfunded obligation treatment, and duration-adjusted pricing. Use when modeling strip deals, evaluating tail-end portfolios, or analyzing remaining value.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates fund-of-funds secondary transactions with layer-on-layer fee analysis, double-carry impact, and net return adjustment. Use when pricing FoF secondaries, analyzing fee drag, or modeling net LP economics.
日本語の概要は準備中です。原文の説明を表示しています。
Structures PPA analysis with tangible/intangible asset identification, useful life estimation, and goodwill calculation. Use when modeling purchase accounting, allocating deal price, or estimating amortization impact.
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes special dividend catalysts with balance sheet capacity, tax efficiency, and shareholder return comparison analysis. Use when modeling special dividends, evaluating capital return catalysts, or assessing dividend capacity.
日本語の概要は準備中です。原文の説明を表示しています。
Builds default probability and recovery rate models with industry data, structural analysis, and loss-given-default estimation. Use when modeling credit losses, estimating recovery values, or analyzing default scenarios.
日本語の概要は準備中です。原文の説明を表示しています。
Assesses energy transition investments with battery storage, grid modernization, EV charging, and hydrogen infrastructure analysis. Use when modeling energy transition assets, evaluating storage economics, or analyzing grid infrastructure.
日本語の概要は準備中です。原文の説明を表示しています。
Calculates dilutive impact of equity issuance on existing shareholders with EPS, ownership, and NAV per share analysis. Use when modeling dilution, communicating shareholder impact, or comparing capital raise alternatives.
日本語の概要は準備中です。原文の説明を表示しています。
Builds CPR/CDR/severity vectors with scenario analysis across interest rate and economic environments. Use when modeling prepayment behavior, projecting default scenarios, or stress testing pool performance.
日本語の概要は準備中です。原文の説明を表示しています。
Structures dividend recap analysis with leverage impact, credit agreement compliance, and return enhancement calculation. Use when modeling dividend recaps, evaluating interim distributions, or analyzing recapitalization options.
日本語の概要は準備中です。原文の説明を表示しています。
Builds revolving securitization models with replenishment criteria, early amortization triggers, and portfolio composition limits. Use when modeling revolving structures, analyzing credit card ABS, or evaluating asset purchase criteria.
日本語の概要は準備中です。原文の説明を表示しています。
Builds recovery waterfall models with absolute priority, secured vs unsecured claims, and plan of reorganization distribution analysis. Use when modeling bankruptcy recoveries, analyzing claim priorities, or estimating creditor distributions.
日本語の概要は準備中です。原文の説明を表示しています。
Builds carbon credit models with offset generation analysis, verification costs, and market pricing dynamics for carbon-linked investments. Use when modeling carbon credits, analyzing offset economics, or evaluating carbon market exposure.
日本語の概要は準備中です。原文の説明を表示しています。
Builds carry waterfall models with preferred return hurdles, catch-up provisions, and clawback mechanics across deal-by-deal and whole-fund structures. Use when modeling carry economics, comparing waterfall structures, or analyzing GP incentive alignment.
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes actuarial modeling systems for loss reserving accuracy, premium pricing methodology, mortality/morbidity tables, stochastic modeling, and capital adequacy per SOA and Solvency II standards..
日本語の概要は準備中です。原文の説明を表示しています。
Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.
日本語の概要は準備中です。原文の説明を表示しています。
Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.
日本語の概要は準備中です。原文の説明を表示しています。
Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence. Use PROACTIVELY for data analysis tasks, ML modeling, statistical analysis, and data-driven insights.
日本語の概要は準備中です。原文の説明を表示しています。
Rowan is a cloud-native molecular modeling and medicinal-chemistry workflow platform with a Python API. Use for pKa and macropKa prediction, conformer and tautomer ensembles, docking and analogue docking, protein-ligand cofolding, MSA generation, molecular dynamics, permeability, descriptor workflows, and related small-molecule or protein modeling tasks. Ideal for programmatic batch screening, multi-step chemistry pipelines, and workflows that would otherwise require maintaining local HPC/GPU infrastructure.
日本語の概要は準備中です。原文の説明を表示しています。
Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project.
日本語の概要は準備中です。原文の説明を表示しています。