Finance & Markets
Financial Markets
Covers: Options, Gold/Silver ratio, Semiconductors, SORA, Compounding critique, Debt/Ownership mechanics
Financial Markets
Covers: Options, Gold/Silver ratio, Semiconductors, SORA, Compounding critique, Debt/Ownership mechanics. See also [[cybersecurity-thesis]] for equity thesis and [[economics-and-scarcity]] for structural theory.
Options Trading
Source: raw-sources/Life and Finances/Options.md
Definitions
| Term | Meaning |
|---|---|
| Call | Right to buy at strike price |
| Put | Right to sell at strike price |
| Premium | Price paid for the option |
| Strike | The agreed purchase/sale price |
| Expiry | When the contract expires |
| ITM | In-the-money (profitable to exercise) |
| OTM | Out-of-the-money (not profitable to exercise) |
| ATM | At-the-money (strike = current price) |
Option Value Components
Intrinsic value: max(0, Current Price - Strike) for calls; max(0, Strike - Current Price) for puts.
Time value: Premium - Intrinsic value. Decays toward expiry (theta decay).
The Greeks
| Greek | Measures | Direction |
|---|---|---|
| Delta | Sensitivity to underlying price | Call: 0→1; Put: -1→0 |
| Theta | Time decay (per day) | Always negative for buyers |
| Vega | Sensitivity to implied volatility | Positive for buyers |
| Gamma | Rate of change of Delta | Highest at ATM |
P&L Formulas
Long Call: (Current Price - Strike - Premium) × 100 if ITM; -Premium × 100 if OTM at expiry.
Long Put: (Strike - Current Price - Premium) × 100 if ITM; -Premium × 100 if OTM at expiry.
Covered Call: Own stock + sell call. Income = premium. Cap upside at strike.
Cash-Secured Put: Sell put + hold cash = premium income + obligation to buy at strike.
Key Strategies
| Strategy | Construction | Outlook |
|---|---|---|
| Long Call | Buy call | Bullish |
| Long Put | Buy put | Bearish |
| Covered Call | Long stock + short call | Neutral/mild bullish |
| Cash-Secured Put | Short put + cash | Neutral/mild bullish |
| Bull Call Spread | Buy lower call + sell higher call | Moderately bullish |
| Bear Put Spread | Buy higher put + sell lower put | Moderately bearish |
| Straddle | Buy call + buy put (same strike/expiry) | High volatility expected |
| Strangle | Buy OTM call + buy OTM put | High volatility, cheaper than straddle |
Leveraged ETFs: Hakyun's view — precision instruments, not long-hold vehicles. Daily rebalancing causes volatility decay over time (beta slippage). Best used for short-term directional trades.
Gold & Silver Ratio
Source: raw-sources/Life and Finances/Gold & Silver.md
The Indicator
Gold-silver ratio = Gold price ÷ Silver price (in oz).
As of June 4, 2025: Gold $3,346/oz, Silver $34.39/oz → ratio ~97x (historically elevated).
⚠️ Prices stale (Q1 2026): Silver flash-crashed from $121 → $79 (-33%) in Jan 2026; Gold hit $5,500+ post-Iran then fell to $4,664 (-11.2%) under Warsh/rising-real-yield pressure. These figures are baseline only. See [[market-intelligence]] for Q1 2026 commodity data.
Risk Sentiment Signal
| Ratio direction | What it means |
|---|---|
| Rising ratio | Risk-off; investors fleeing to gold (pure safety) |
| Falling ratio | Risk-on; money rotating from gold → silver (industrial demand rising) |
Why: Gold = pure store of value / safe haven. Silver = hybrid (safe haven + industrial metal: solar panels, electronics, EVs). In risk-on environments, industrial demand pulls silver up faster.
Historical behavior
- 2008 GFC: ratio spiked sharply as gold outperformed
- COVID March 2020: ratio hit ~125x (panic peak)
- Post-COVID recovery: ratio fell as silver ripped on industrial demand
Current reading (~97x): Still elevated. Suggests market remains defensive, or silver is lagging a transition.
Semiconductors
Source: raw-sources/Life and Finances/Semiconductors.md
What They Are
Silicon-based chips with transistors as the fundamental switching unit. More transistors = more compute per area.
Performance factors:
- Transistor size (nm node) — smaller = faster + more efficient
- Architecture (chip design choices)
- Memory bandwidth
Key players:
| Company | Role |
|---|---|
| Nvidia | GPU design (AI inference/training) |
| TSMC | Foundry — manufactures chips for others |
| Intel | Legacy x86 CPU + foundry push |
| Samsung | DRAM + foundry |
| AMD | CPU + GPU |
| Qualcomm | Mobile SoC |
| Broadcom | Networking chips |
| Micron | DRAM + NAND |
| SK Hynix | HBM (High Bandwidth Memory — critical for AI) |
| ASML | EUV lithography machines (monopoly) — geopolitical chokepoint |
| Lam Research / Applied Materials | Semiconductor equipment |
Nvidia Supply Chain (GB200 Rack)
| Supplier | Role | Approx. share |
|---|---|---|
| TSMC | CoWoS advanced packaging + logic | ~25% |
| Samsung | DRAM modules | ~15% |
| ASE | Assembly and packaging | ~10% |
| SK Hynix | HBM3e memory | ~8% |
| Micron | Memory alternatives | ~8% |
| Navitas | GaN power | — |
| Astera Labs | PCIe retimers | — |
| Foxconn / Inventec | GB200 NVL racks | — |
Geopolitical note: ASML controls EUV lithography globally. Export restrictions on ASML tools to China are the key chokepoint in semiconductor supply chain geopolitics. Nvidia has also developed a China-market variant (B40 chip) manufactured via ZJK Industrial, designed to comply with export control thresholds — showing active geopolitical adaptation in real time.
Compounding — Why It Fails for the Middle Class
Source: raw-sources/Life and Finances/Compounding.md
The conventional wisdom: start early, invest consistently, let compounding do the work.
Six structural reasons it fails for lower/middle class:
1. Principal Problem
$1,000 × 7% = $70/year. $1,000,000 × 7% = $70,000/year.
Compounding is multiplicative — starting capital is determinative. The middle class starts at a fundamental disadvantage.
2. Liquidity Trap
Compounding requires uninterrupted capital. One medical emergency, job loss, or family crisis forces premature liquidation → the chain breaks.
The rich can compound because they have buffers. The middle class cannot because they have none.
3. Inflation Erosion
Returns must exceed inflation net of fees and taxes. 7% gross return - 2% inflation - 1% fees - 2% taxes = 2% real return. The headline number is deeply misleading.
4. Access to Better Vehicles
Private equity, venture, hedge funds, real estate (at scale) historically outperform public markets. These are inaccessible to small investors.
5. Tax Efficiency
Wealth taxes (capital gains, inheritance) compound in reverse. The rich have access to structures (trusts, offshore, stepped-up basis) that minimize this. Middle class does not.
6. Time Horizon as Class Privilege
Investing for 30+ years requires stability — stable employment, health, family circumstances. This stability is itself a class privilege.
Conclusion (Piketty's r > g):
- r = return on capital (~4-5%)
- g = economic growth (~2%)
- r > g is structural: capital owners grow faster than the economy, concentrating wealth
Practical implication: For early-career individuals, invest in earning potential first (skills, network, credentials) before capital. The marginal return on human capital early in life exceeds the marginal return on financial capital.
Debt / Ownership Mechanics
Source: raw-sources/Clippings/Debt & Ownership.md (Gary's Economics)
Debt = Money (Symmetry)
Every debt is an asset on someone else's balance sheet. Total net debt in a closed economy = zero. When the government borrows £700B, someone holds £700B in UK government bonds.
Implication: "Reducing national debt" means reducing someone's asset. Debt is not destruction — it is redistribution of claims.
Debt as Ownership
A mortgage is not "your" house — you rent it from the lender.
- Bank holds first claim on the asset
- If prices fall, the borrower bears the loss (negative equity)
- If prices rise, the borrower captures the upside — but the bank captures the stability
Bondholders vs shareholders analogy: Debt holders get fixed income, shareholders get residual. The debt buyer is making a lower-risk, lower-upside bet. They didn't make money because they were smart — they made money because money itself was devalued (inflation eroded the debt in real terms while asset prices rose).
Who Takes Price Risk?
In a mortgage: the borrower takes price risk (gains and losses on equity). In government bonds: the bondholder takes inflation risk (fixed nominal return eroded by inflation).
Gary's conclusion: Rising asset prices are a transfer mechanism — from non-owners (renters, low-income, young) to owners (landowners, capital holders). Compounding inequality is structural, not accidental. See also [[financial-markets#Compounding]] above.
SORA — Singapore Interest Rate Benchmark
Sources: raw-sources/Clippings/Switching To SORA.md | Clippings/SORA Rates 1-Month & 3-Month Compounded.md
SORA = Singapore Overnight Rate Average. Volume-weighted overnight interbank lending rate published daily by MAS (~9am). Replaced SIBOR (discontinued end-2024).
Why the switch:
- Global shift toward transaction-data-based benchmarks (post-LIBOR scandals)
- SORA is based on actual transactions, not bank estimates
- More robust — backward-looking data, less susceptible to market manipulation
How Compounded SORA Works
Spot SORA is an overnight rate — it fluctuates daily. For mortgages, raw spot SORA is too volatile to use directly. MAS solves this with a SORA Index:
- Base date: Jan 3, 2020 = 1.0000000000
- Each day, the index grows by the day's SORA rate (think: compound interest on $1 deposit)
- Compounded SORA for any period = ratio of SORA Index values at start and end dates
1-month vs 3-month SORA:
| Period | Volatility | Best for |
|---|---|---|
| 1-month SORA | Higher | Falling rate environments — captures cuts quickly |
| 3-month SORA | Lower (lagging) | Rising rate environments — smooths out spikes |
A longer compounding period smooths out more of the underlying daily volatility. In periods of rate escalation, prefer 3-month (acts like a temporary fixed rate). In periods of rate decline, prefer 1-month (captures falls quickly).
Current trend (as of mid-2025): SORA falling from peak of 3.76%. Signs pointing toward 2% level. Any Fed cuts in H2 2025 would push SORA below 2% — return of low-rate regime in Singapore.
⚠️ Update (Q1 2026): Warsh nomination (Jan 30, 2026) established a "QT-for-cuts" framework — hawkish pause, not rate cuts. The H2 2025 cut trajectory did not materialize as expected. Iran war (Feb-March 2026) created a stagflation trap that makes Fed cuts even harder. Convergence toward 2% is delayed; monitor Warsh Senate confirmation and Fed forward guidance. See [[market-intelligence]] for full context.
Conversion spreads (for legacy SOR mortgages):
- 1-month SOR → 3-month SORA: +0.96%
- 3-month SOR → 3-month SORA: +1.33%
- 6-month SOR → 3-month SORA: +1.71%
No lock-in fee for converting with existing bank. MSR/TDSR do not need recomputation for same-institution switches.
Dollar Cost Averaging (DCA)
Source: raw-sources/Life and Finances/Dollar cost averaging (DCA).md
Invest a fixed amount at regular intervals regardless of asset price. Spreads purchases over time to reduce timing risk.
How it works (example — $100/month):
| Month | Stock Price | Shares Bought |
|---|---|---|
| Jan | $100 | 1.00 |
| Feb | $50 | 2.00 |
| Mar | $25 | 4.00 |
Invested $300, own 7 shares. Average cost = $42.86. Price fell 75%; average cost fell 57% — DCA softened the blow.
Key benefits:
- Reduces timing risk (no need to call market tops/bottoms)
- Lowers average cost over time
- Forces discipline (routine investing vs. emotional decisions)
- Works well for volatile assets (equities, crypto)
Critical caveat: "Regardless, the stock you're buying still has to have strong fundamentals and generate real value as a business." DCA lowers average cost on a losing position — it doesn't rescue a bad investment.
Limitations:
- In a steadily rising bull market, lump-sum investing may outperform DCA
- Requires long horizon (years, not weeks) to work
- Discipline is the real challenge — must stay committed through highs AND lows
Combine with dynamic rebalancing: Use 5–10% deviation thresholds to rebalance. DCA builds positions; rebalancing keeps risk from skewing over time.
Tension with the Compounding critique above: DCA doesn't solve the structural compounding problem (principal still matters, access to better vehicles still matters) — but it is a better behavioral approach than market-timing for most retail investors. The compounding critique argues against naive optimism, not against investing consistently.
The Financial System — Institutional Overview
Source: Clippings/FINANCIAL SYSTEM explained in 18 mins.md
How the major institutions interconnect to create, move, and multiply money:
| Institution | Core Function | Key Feature |
|---|---|---|
| Central Banks (Fed, BoE, PBoC) | Create money; set interest rates; monetary policy | Quantitative easing (buy bonds = inject money); quantitative tightening (sell bonds = remove money) |
| Commercial Banks (JPM, WF, BoA) | Move money from savers to borrowers | Create new money when issuing loans; reserve rate now effectively 0% in major economies |
| Pension Funds | Ensure retirees get paid; invest $60T+ globally | Largest single source of capital for PE and VC firms; own landmarks and major assets |
| Mutual Funds (Vanguard, Fidelity) | Diversified investment pools for retail investors | Active (stock-picking) vs. passive (index-tracking); passive far cheaper in fees |
| Hedge Funds (Bridgewater, Citadel) | Complex strategies for accredited investors | 2-and-20 fee structure; most underperform S&P 500; some extraordinary outliers (Jim Simons) |
| Investment Banks (Goldman, Morgan Stanley) | IPOs, M&A, capital raising | Connecting businesses and governments with money at scale |
| Private Equity (Blackstone, KKR) | Buy, fix, flip companies using leverage | Leveraged buyout (LBO) — 20% equity, 80% debt dumped on target company |
| Insurance Companies (State Farm, Geico) | Spread risk across millions; invest premiums | Quietly one of the biggest investors in global markets |
| Venture Capital (Sequoia, a16z) | Bet on startups via power law | ~90% fail; 2–3 cover all losses with 1000x returns (e.g., Peter Thiel's $500K → $1B+ in Facebook) |
Commercial banks create money: When a bank issues a loan, it creates new deposits. $10M in reserves → $100M in loans (traditional 10% reserve; now 0% in most major economies). This is why central banks matter so much — they control the multiplier.
PE's sneaky play: Buy $100M company with $20M equity + $80M debt. Dump the $80M debt onto the company's books. If it fails → PE only loses $20M. If it succeeds → massive upside. Toys R Us was loaded with $5B debt by KKR/Bain/Vornado — paid $400M/yr in interest until bankruptcy (2017).
Dalio's Big Cycle (Context)
Hakyun positions his market thinking within Dalio's long-term debt cycle framework. Singapore and the US are assessed at approximately Stage 6 (late-cycle / reset phase):
- Debt-to-income ratios at extremes
- Central bank money printing expanding
- Wealth/political/geopolitical conflicts intensifying
Investment implication: Diversification across currencies and asset classes; gold as hedge (but see Warsh Complication below — gold fails as a hedge in rising real yield environments); caution on long-duration bonds.
Gold as Safe Haven — Warsh Complication
⚠️ Contradiction flag: The Gold & Silver Ratio section treats gold as a reliable safe haven. The Q1 2026 Synapse wraps show gold falling 11% on the Warsh nomination in January, despite simultaneous geopolitical crisis — because rising real yields override haven demand when a hawkish central bank is the source of volatility.
Revised mental model:
- Gold rises during: demand shocks (recession), financial panic, currency debasement, negative real yields
- Gold falls during: rising real yield environment, strong dollar + hawkish central bank, forced selling (margin calls, algorithmic triggers)
- The Warsh Effect = "sound money" doctrine signals positive real yields → gold loses its primary investment thesis
In March 2026: Gold fell 11.2% despite the Iran conflict (rising real yields dominated). Bitcoin outperformed Gold (+2–3% vs -11%) as the "inflation hedge." Institutional capital rotated from gold ETFs to Bitcoin ETFs during the crisis. This may represent a structural shift in crisis hedging tools.
See [[market-intelligence]] for full Q1 2026 context.
Related Pages
[[cybersecurity-thesis]] | [[economics-and-scarcity]] | [[hakyun-ryu]] | [[active-projects]] | [[market-intelligence]] | [[energy-commodities]] | [[portfolio-construction]] | [[singapore-finance]] | [[behavioral-finance]]