modeling-rights-offering-arbitrage
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.
Best use case
modeling-rights-offering-arbitrage is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using modeling-rights-offering-arbitrage should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/modeling-rights-offering-arbitrage/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How modeling-rights-offering-arbitrage Compares
| Feature / Agent | modeling-rights-offering-arbitrage | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Modeling Rights Offering Arbitrage ## When To Use - Issuer announces a rights offering and you need to model the theoretical ex-rights price (TERP) to evaluate fair value impact - Evaluating whether nil-paid rights are mispriced relative to the subscription price and cum-rights share price - Sizing an arbitrage position by comparing the market price of nil-paid rights to their theoretical value - Assessing dilution impact on existing shareholders who do not exercise - Analyzing an activist's strategy where a rights offering is used as a defensive or offensive capital structure tool - Modeling oversubscription privilege economics and backstop commitment fees ## Inputs To Gather - **Cum-rights share price** — last traded price before the ex-rights date (or current price if pre-ex-date) - **Subscription price** — the price at which new shares can be purchased under the offering - **Rights ratio** — number of existing shares required to subscribe for one new share (e.g., 4:1 means 4 old shares yield 1 right to buy 1 new share) - **Total shares outstanding** (pre-offering) and **new shares to be issued** - **Gross offering proceeds** and any **backstop/standby fees** - **Key dates** — record date, ex-rights date, subscription period, oversubscription deadline, closing date - **Oversubscription terms** — whether oversubscription privilege exists, any pro-rata allocation mechanics - **Market data** — nil-paid rights trading price (if rights are renounceable and listed), sector comps, short borrow availability - **Issuer-specific context** — reason for offering (deleveraging, acquisition financing, regulatory capital), any concurrent transactions ## Workflow 1. **Calculate TERP** - TERP = (Cum-rights price × Existing shares + Subscription price × New shares) / (Existing shares + New shares) - Express TERP discount to cum-rights price as a percentage 2. **Derive theoretical nil-paid rights value** - Theoretical value per right = (Cum-rights price − Subscription price) / (Rights ratio + 1) - Alternative: TERP − Subscription price (value of one right when one right is needed per new share) - Confirm which formula applies based on the specific rights ratio structure 3. **Assess subscription premium / discount** - Compare the subscription price to TERP — a deeper discount incentivizes take-up - Flag if discount is unusually shallow (<10%) as this increases non-exercise risk and rights value volatility 4. **Model arbitrage P&L scenarios** - **Fully hedged arbitrage**: Buy nil-paid rights, subscribe for shares, short sell equivalent shares at TERP or market price; P&L = market price of rights vs. theoretical value minus borrow cost, execution slippage, and fees - **Unhedged participation**: Subscribe and hold — model upside/downside to TERP under bull/bear share price scenarios - **Rights sale**: Sell nil-paid rights in the market — compare to theoretical value and factor in liquidity discount 5. **Run dilution and ownership analysis** - Model post-offering ownership for participating vs. non-participating shareholders - Calculate wealth transfer from non-exercising to exercising shareholders - If an activist holds a disclosed stake, model their post-offering ownership under full exercise, partial exercise, and oversubscription scenarios 6. **Sensitivity analysis** - Vary cum-rights share price (±5%, ±10%, ±20%) and recalculate TERP, nil-paid value, and arbitrage P&L - Vary take-up rate (70%, 85%, 100%) to assess oversubscription allocation and backstop exposure - Stress-test borrow cost assumptions for the short leg of the hedge 7. **Timeline and execution risk** - Map key dates to identify the subscription window and settlement lag - Flag jurisdictional restrictions on rights trading or short selling [VERIFY] - Note any regulatory approvals required before closing (e.g., antitrust, banking regulator capital approval) [VERIFY] ## Output - **TERP summary table**: Cum-rights price, subscription price, rights ratio, TERP, TERP discount %, theoretical nil-paid value - **Arbitrage P&L matrix**: Scenarios across share price movements and take-up rates, showing gross and net P&L per share/right - **Dilution waterfall**: Pre- and post-offering share counts, ownership percentages for key holders, and wealth transfer to/from non-exercisers - **Key dates timeline**: Record date through settlement, with trading windows for nil-paid rights - **Risk flags**: Liquidity of nil-paid rights market, borrow availability for hedging, regulatory or jurisdictional constraints, backstop counterparty risk ## Quality Checks - Confirm TERP is between the subscription price and cum-rights price — if not, recheck inputs - Verify nil-paid rights value is positive; a negative value implies subscription price exceeds cum-rights price (a deeply distressed scenario requiring separate analysis) - Cross-check total offering proceeds = subscription price × new shares issued - Ensure dilution math reconciles: new shares / (existing + new) = dilution percentage - Validate that arbitrage P&L accounts for all friction costs (borrow, commissions, FX if cross-listed) - If nil-paid rights are trading, compare theoretical value to market price and explain any material divergence (liquidity premium, time value, hedging demand) - Mark any jurisdiction-specific tax treatment of rights (e.g., CGT treatment of nil-paid rights sales) with [VERIFY]
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