950 件 ・ 関連度順
概要と使いどころ
Calculates stub equity value with subsidiary attribution, holding company discount, and sum-of-parts residual analysis. Use when analyzing stub values, evaluating holding company discounts, or identifying negative stub situations.
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 securities lending market with borrow cost, short interest dynamics, and fail-to-deliver monitoring. Use when analyzing lending markets, tracking borrow costs, or evaluating short selling dynamics.
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 interest rate hedging programs with swap analysis, cap/floor evaluation, and hedge accounting documentation. Use when designing rate hedges, comparing hedging instruments, or analyzing hedge effectiveness.
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 debt maturity analysis with refinancing risk, market access assumptions, and liability management opportunities. Use when analyzing maturity walls, planning refinancing, or optimizing debt tenor.
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 event-driven opportunities with catalyst identification, pricing efficiency assessment, and risk/reward evaluation. Use when analyzing event-driven situations, evaluating catalysts, or assessing event timing.
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 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。
Decomposes portfolio risk with factor attribution, idiosyncratic risk, and marginal contribution to risk analysis. Use when decomposing portfolio risk, attributing risk sources, or analyzing factor risk contribution.
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 merger arb risk/reward with annualized spread, deal break probability, and downside scenario analysis. Use when analyzing merger arb, calculating spread returns, or evaluating deal completion probability.
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 book-building analysis with demand tiers, allocation methodology, and price sensitivity assessment. Use when managing book-building, analyzing investor demand, or optimizing allocation 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。
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 upstream oil and gas assets with reserve estimation, production decline curves, and net asset value modeling. Use when evaluating E&P assets, analyzing reserve reports, or modeling upstream 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。
Constructs venture return models with entry valuation, follow-on reserve, multiple scenario exits, and portfolio-level fund math. Use when modeling VC returns, calculating fund economics, or projecting portfolio outcomes.
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 plan of reorganization models with debt-for-equity conversion, new money injection, and emergence capital structure. Use when modeling restructuring plans, designing emergence capital structures, or analyzing plan feasibility.
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 LBO models with sources/uses, debt schedules, operating projections, and returns analysis across entry/exit scenarios. Use when modeling leveraged buyouts, calculating sponsor returns, or analyzing leverage 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。
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。
Evaluates MBS structures with prepayment modeling (CPR/CDR), collateral analysis, and tranche-level credit risk assessment. Use when analyzing MBS, modeling prepayment scenarios, or evaluating residential mortgage pools.
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 regulatory decision impact with approval probability, timeline analysis, and outcome scenario modeling for event-driven positions. Use when analyzing regulatory events, evaluating FDA/FCC/DOJ decisions, or modeling regulatory outcomes.
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 model selection is unclear after the modeling decision tree, the problem spans multiple domains, or modeler needs several candidate approaches before writing modeling_plan.md.
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。
Interactively gather parameters for `python -m cli.inference.throughput_optimizer`, generate a deployment simulation command, explain assumptions, ask for execution confirmation, then run the simulation and summarize the best parallel strategy. Use when the user wants to evaluate a model on one or more hardware profiles, compare hardware targets, compare aggregation versus disaggregation versus PD ratio optimization, choose TP/EP/MOE-DP search ranges, or obtain recommended concurrency, throughput, TTFT, and TPOT results from throughput modeling.
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。
当首次使用 msmodeling optix 的用户需要根据硬件、模型、负载和优化目标推荐 MindIE/vLLM 寻优参数、搜索范围、benchmark 侧字段或 config.toml 片段时使用。
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。
当用户需要部署 msmodeling optix 服务化自动寻优工具时使用。负责安装与验证。
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。