1万 件 ・ 関連度順
概要と使いどころ
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。
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。
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。
Builds corporate scenario planning models with macro assumption sets, strategic response options, and contingency plan development. Use when building scenario frameworks, planning strategic responses, or developing contingency strategies.
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 economic profit (EVA) models with capital charge calculation, value spread analysis, and long-term value creation measurement. Use when calculating economic profit, analyzing EVA trends, or measuring value creation.
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 earnout and contingent payment mechanisms with milestone definitions, measurement periods, and payout scenarios. Use when modeling earnouts, designing milestone-based payments, or valuing contingent consideration.
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 mean-variance, Black-Litterman, and risk parity optimization models with constraint management and rebalancing rules. Use when optimizing portfolios, implementing risk parity, or applying Black-Litterman views.
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 currency hedging models with rolling forward programs, option-based strategies, and cross-hedge analysis for international portfolios. Use when designing hedge programs, analyzing hedge ratios, or evaluating FX protection costs.
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。
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。
Builds pricing models incorporating J-curve positioning with blind pool risk, early-vintage assessment, and age-weighted adjustments. Use when pricing early-vintage funds, analyzing J-curve risk, or adjusting for fund maturity.
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 structural interest rate exposure with fixed/floating mismatch, basis risk, and cap/floor adequacy assessment. Use when modeling structural rate risk, analyzing basis risk, or evaluating interest rate hedging needs.
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 NPV, IRR, and payback models for capital investment decisions with hurdle rate calibration and risk adjustment. Use when evaluating capital investments, comparing project returns, or building capital allocation frameworks.
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 startup viability through business model canvas analysis, unit economics validation, and market timing evaluation. Use when evaluating startup pitches, analyzing business model sustainability, or assessing product-market fit.
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。
Constructs accretion/dilution analysis with pro forma financials, synergy phasing, and purchase price allocation. Use when modeling merger outcomes, calculating EPS accretion, or analyzing deal structures.
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。
Constructs stat arb strategies with pair selection, signal generation, and portfolio optimization under market neutrality constraints. Use when building stat arb models, designing market-neutral strategies, or optimizing pair portfolios.
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。
Use when EZ_math_model needs to convert paper.md to paper.docx, read a DOCX problem statement, preserve equations and tables, or package a modeling report as a Word document.
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。
Use when EZ_math_model runs in multi or hybrid mode and has two or more independent subtasks that can be assigned to subagents without shared files, shared state, or dataflow dependencies.
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。
Use when the user explicitly asks EZ_math_model to create defense slides, academic presentation slides, Beamer slides, or PPT after the modeling paper has been packaged.
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。
Use after EZ_math_model writer creates paper.md and before quality audit when a long modeling paper needs less AI-like prose while preserving formulas, data, citations, tables, and figures.
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。
Use when EZ_math_model needs to read, preview, clean, write, or summarize CSV, XLS, or XLSX attachments and result tables for modeling tasks.
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。
Autonomous iteration loop with dual-mode support. Standalone mode uses Stop hooks (RALPH_ACTIVE=1). Multi-agent mode uses router-managed iteration. Never traps the host/router session.
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。