「modeling」の検索結果

Builds regime detection models with hidden Markov, threshold, and Bayesian change-point methodologies for strategy adaptation. Use when modeling regime changes, detecting market shifts, or adapting strategies to market conditions.

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 renewable energy yield models with resource assessment, capacity factor analysis, and P50/P90 production estimates. Use when modeling wind/solar yields, analyzing resource data, or evaluating production uncertainty.

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。

Analyzes intraday volatility dynamics with open/close effects, lunch-time patterns, and event-driven volatility estimation. Use when modeling intraday volatility, timing order execution, or analyzing time-of-day effects.

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。

Designs rebalancing triggers with calendar-based, threshold-based, and hybrid approaches with tax and cost optimization. Use when designing rebalancing rules, optimizing rebalancing frequency, or modeling turnover 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 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。

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。

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。

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。

Analyzes rights offering dynamics with theoretical ex-rights price, subscription premium, and nil-paid value calculation. Use when evaluating rights offerings, modeling TERP, or analyzing subscription arbitrage.

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 CLO waterfall models with coverage tests, reinvestment criteria, and distribution allocation across tranches. Use when modeling CLO structures, analyzing OC/IC tests, or projecting tranche returns.

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。

Prices FX options and exotic structures with Garman-Kohlhagen, local volatility, and stochastic volatility models. Use when pricing FX derivatives, evaluating FX options, or modeling cross-currency products.

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 project finance models with construction period draws, operational cash flows, DSCR covenants, and sculpted debt repayment. Use when modeling project finance, calculating debt service coverage, or structuring project lending.

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 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。

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 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。

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 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。

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。