跳到正文
cccskills
免费在 GitHub 公开

"grad-real-options"

"Apply real options analysis to value managerial flexibility embedded in investment decisions. Use this skill when the user needs to evaluate projects with significant uncertainty and flexibility, assess the value of deferring or expanding investments, compare traditional NPV with expanded NPV, or when they ask 'should we wait to invest', 'what is the option to abandon worth', or 'why does NPV undervalue this project'.".

中文简介正在准备中。当前显示原文说明。

实测评分 未实测

查看安装方法

包含的文件(2)

  • SKILL.md4.2 KB
  • examples/sample_scenario.md4.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Real Options

Overview

Real options theory applies financial option pricing logic to corporate investment decisions. It recognizes that managers can adapt their decisions as uncertainty resolves — deferring, expanding, contracting, or abandoning projects. Traditional NPV, which assumes a now-or-never commitment, systematically undervalues projects with significant flexibility.

When to Use

  • Evaluating investments with high uncertainty and managerial flexibility
  • Comparing staged vs. committed investment strategies
  • Valuing natural resource extraction, R&D, or platform investments
  • When NPV is near zero but the project has strategic optionality

When NOT to Use

  • For routine, low-uncertainty investments where NPV suffices
  • When flexibility is contractually or practically absent
  • If the option exercise conditions are unclear or unquantifiable

Assumptions

IRON LAW: Traditional NPV undervalues projects with significant
managerial flexibility. Expanded NPV = Static NPV + Option Value.
Ignoring optionality leads to systematic underinvestment in
high-uncertainty, high-flexibility projects.

Key assumptions:

  1. Managers can and will exercise flexibility optimally
  2. Underlying asset value follows a stochastic process
  3. Option exercise is feasible (legal, organizational, technical)
  4. Market exists (or proxy exists) to estimate volatility

Methodology

Step 1 — Identify Embedded Options

Option TypeDescriptionExample
DeferWait for better informationLand development
ExpandScale up if successfulPlatform investment
ContractScale down if conditions worsenModular production
AbandonExit and recover salvage valueR&D project
SwitchChange inputs or outputsFlex-fuel plant

Step 2 — Map to Option Parameters

  • Underlying asset value (S): PV of project cash flows
  • Exercise price (K): investment cost or salvage value
  • Time to expiration (T): decision window
  • Volatility (sigma): uncertainty in project value
  • Risk-free rate (r): discount rate for option pricing

Step 3 — Value the Option

Use binomial lattice or Black-Scholes analog. See references/ for mathematical formulations.

Step 4 — Compute Expanded NPV

Expanded NPV = Static NPV + Option Value. If expanded NPV is positive, the project merits investment or preservation of the option.

Output Format

## Real Options Analysis: [Project]

### Static NPV
- NPV = $X (using traditional DCF)

### Embedded Options Identified
| Option | Type | Value Driver |
|--------|------|-------------|
| [name] | [defer/expand/abandon/...] | [key uncertainty] |

### Option Valuation
| Parameter | Value |
|-----------|-------|
| Underlying (S) | $X |
| Exercise price (K) | $X |
| Volatility | x% |
| Time (T) | X years |
| Option value | $X |

### Expanded NPV
- Static NPV + Option Value = $X
- Decision: [invest / defer / preserve option]

Gotchas

  • Volatility estimation for real assets is far harder than for traded securities
  • Assumes optimal exercise — behavioral biases may cause premature or delayed exercise
  • Option interactions matter: exercising one option may kill another (e.g., expand kills abandon)
  • Real options can justify procrastination disguised as "preserving flexibility"
  • Black-Scholes assumptions (continuous trading, log-normal returns) rarely hold for real assets
  • Organizational capability to actually exercise options is often overestimated

References

  • Dixit, A. & Pindyck, R. (1994). Investment Under Uncertainty. Princeton University Press.
  • Trigeorgis, L. (1996). Real Options: Managerial Flexibility and Strategy. MIT Press.
  • Myers, S. (1977). Determinants of corporate borrowing. Journal of Financial Economics, 5(2), 147-175.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

"Implement and select ad bidding strategies from manual CPC to automated target-CPA and target-ROAS. Use this skill when the user needs to choose a bidding strategy, set up automated bidding, or optimize bid parameters — even if they say 'what bidding strategy should I use', 'target CPA setup', or 'smart bidding configuration'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Optimize advertising budget allocation across campaigns using marginal returns analysis. Use this skill when the user needs to distribute budget across multiple campaigns, optimize spend pacing, or maximize overall ROAS under budget constraints — even if they say 'how to split my ad budget', 'campaign budget optimization', or 'diminishing returns on ad spend'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Build CTR prediction models for estimating ad click-through rates from features. Use this skill when the user needs to predict click probability, build an ad ranking model, or evaluate ad creative performance — even if they say 'predict click rate', 'ad relevance scoring', or 'which ad will get more clicks'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Implement Generalized Second Price auction for ad slot allocation and pricing. Use this skill when the user needs to understand search ad auctions, compute ad positions and costs-per-click, or analyze bidding dynamics — even if they say 'how does Google Ads auction work', 'ad rank calculation', or 'second price auction for ads'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Implement VCG mechanism for incentive-compatible ad slot allocation with truthful bidding. Use this skill when the user needs to design a truthful auction mechanism, compute externality-based payments, or understand why platforms may prefer GSP over VCG — even if they say 'truthful auction design', 'VCG payments', or 'incentive-compatible mechanism'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Explain blockchain fundamentals including distributed ledger architecture, consensus mechanisms, and block structure. Use this skill when the user needs to understand blockchain concepts, evaluate whether blockchain fits a use case, or design a blockchain-based solution — even if they say 'how does blockchain work', 'do I need blockchain', or 'distributed ledger'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

查看 charlieviettq 的全部技能

报告此技能的问题