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Silicon Supply Chain — Top 30 Key Players

Price history, textbook-grade analysis (Bodie-Kane-Marcus Investments 13e) and PEST

Prices as of: 2026-10-02 close (USD unless noted; foreign listings converted at spot FX) · Statistics window: 2021-10..2026-09 (60m) monthly USD returns · Risk-free: 13-wk T-bill 3.99%, 10-yr UST 5.28% · Assumed MRP: 5.5%

⚠️ Educational analysis, not investment advice. Data from Yahoo Finance and the Kenneth French Data Library; some fundamental fields from data vendors contain errors (flagged where detected). Past returns are noisy estimates of expected returns (BKM ch.5).

Downloads & code: 📊 Excel workbook (21 sheets, every number on this page) · source code

Freshness

Prices, statistics, tables, charts and the highlighted lists refresh automatically every week (last data update: 2026-10-02). The interpretive commentary and PEST analysis were last reviewed by hand on 2026-09-23, so check the tables if a sentence and a number disagree.


1. Executive summary

  1. The AI capex supercycle has turned the whole chain into a high-beta, momentum-driven asset class. SOXX gained 110% in 1Y / 311% in 5Y vs SPY 16% / 89%. Memory had the biggest gains: SK hynix 1,612%, Micron 1,451% over 5Y in USD. The five weakest over 1Y: SMIC -33%, CDNS 1%, SNPS 4%, AVGO 6%, Disco 10%.
  2. Risk is dominated by firm-specific risk, not market risk (ch.8). Betas vs the S&P 500 range from 0.39 (SMIC) to 3.75 (Arm), but the median R² is only 0.30. Most volatility is idiosyncratic, so diversifying within the chain has real value (σ falls from 53% for a single stock to 38% for 30 names). It cannot fall below the sector's common-factor floor, though.
  3. Jensen's alphas look huge but are mostly not statistically significant (ch.9, 11, 24). Against the CAPM, only NVDA (t=2.07) clear t≈2. Against Fama-French 5 factors plus momentum, only NVDA, AVGO and Advantest do. Five years of data is too short to separate skill or structural advantage from luck.
  4. Valuation mostly prices in growth rather than current earnings (ch.18). Outside memory, 25%–95% of each price is PVGO (present value of growth opportunities). The reverse DCF says the market needs stage-1 cash-flow growth of 17%–113% p.a. The most demanding: ARM (~113%), INTC (~86%), Advantest (~82%), MRVL (~78%). NVIDIA needs only ~28% despite ROE×b above 100%, and Broadcom ~17%.
  5. Memory shows the classic cyclical-peak signature (ch.17–18). Samsung trades at a forward P/E of 3.9, SK hynix at 3.9 and MU at 5.2, against a no-growth P/E of 1/k ≈ 6.4–7.9. That means PVGO is negative: the market is pricing a fall in peak HBM/DRAM earnings. A low P/E at the top of the cycle is a trap unless the cycle turns out to be structurally longer.
  6. Political risk is now a first-order return driver (PEST). Three dates matter: Section 232 chip tariffs (in force since 15 Jan 2026), the expiry of China's gallium/germanium export-control suspension on 27 Nov 2026, and the CHIPS tax-credit sunset for fab starts after 31 Dec 2026. The US government is also now an Intel shareholder.

2. The Top 30: who they are and why they matter

The chain runs design IP/EDA → fabless → foundry/IDM (+ memory) ← equipment ← materials → packaging & test (OSAT). The universe covers every chokepoint:

# Company Ticker Segment HQ Mkt cap (USD bn) Why it's crucial
1 NVIDIA NVDA Fabless - AI/GPU US 5,649 Dominant AI accelerator (GPU + CUDA + NVLink); largest single consumer of CoWoS & HBM
2 Broadcom AVGO Fabless - Networking/Custom ASIC US 1,695 Custom AI ASICs (TPU-class XPUs) for hyperscalers + Ethernet/switch silicon
3 Advanced Micro Devices AMD Fabless - CPU/GPU US 1,035 #2 merchant AI GPU (Instinct) and x86 CPU share gainer
4 Qualcomm QCOM Fabless - Mobile/Edge US 197 Mobile SoC/modem leader; edge-AI, auto and PC (Arm) diversification
5 Marvell Technology MRVL Fabless - Data Infra/Custom ASIC US 245 Custom ASICs, electro-optics/DSPs for AI data-center interconnect
6 Arm Holdings ARM IP - CPU Architecture UK 328 Instruction-set/IP licensor in ~all mobile and a rising share of data-center CPUs
7 Synopsys SNPS EDA & IP US 94 EDA + interface IP duopolist (post-Ansys: simulation); no chip gets designed without it
8 Cadence Design Systems CDNS EDA & IP US 97 EDA duopolist (analog/custom, verification hardware, system analysis)
9 TSMC TSM Foundry - Leading Edge Taiwan 2,452 ~70%+ foundry share, ~all leading-edge (N3/N2/A16) logic + CoWoS packaging — the system's chokepoint
10 Samsung Electronics 005930.KS IDM - Memory/Foundry South Korea 1,350 Memory #1-2 (DRAM/NAND/HBM) + #2 foundry; Korea's national champion
11 Intel INTC IDM - Logic/Foundry US 631 x86 IDM rebuilding foundry (18A/14A); US-government equity stake; CHIPS flagship
12 GlobalFoundries GFS Foundry - Specialty/Mature US 28 Largest US-HQ specialty/mature-node foundry (RF, FD-SOI, silicon photonics)
13 SMIC 0981.HK Foundry - China China 66 China's largest foundry; spearhead of Chinese self-sufficiency under export controls
14 Texas Instruments TXN IDM - Analog US 268 Analog/embedded leader with 300mm US fabs; industrial/auto bellwether
15 Infineon Technologies IFX.DE IDM - Power/Auto Germany 95 #1 power semis (SiC/GaN) & auto MCUs; Europe's anchor for AI data-center power
16 Micron Technology MU Memory - DRAM/HBM/NAND US 1,214 Only US memory maker; HBM3E/HBM4 supplier; CHIPS-funded US DRAM fabs
17 SK hynix 000660.KS Memory - DRAM/HBM South Korea 973 HBM leader (primary HBM supplier to NVIDIA); DRAM #1-2
18 ASML Holding ASML Equipment - Lithography (EUV) Netherlands 717 Monopoly in EUV (and High-NA EUV) lithography — irreplaceable chokepoint
19 Applied Materials AMAT Equipment - Deposition/Etch US 429 Largest WFE vendor: deposition, etch, implant, GAA/backside-power tooling
20 Lam Research LRCX Equipment - Etch/Deposition US 435 Etch/deposition leader; critical for 3D NAND, HBM TSVs, GAA
21 KLA Corp KLAC Equipment - Process Control US 270 Process control/inspection near-monopoly; yield is its product
22 Tokyo Electron 8035.T Equipment - Coat/Develop/Etch Japan 174 Coater/developer monopoly on EUV tracks + etch/deposition; Japan's WFE champion
23 ASM International ASM.AS Equipment - ALD/Epitaxy Netherlands 52 ALD and epitaxy leader — key to GAA transistors
24 Advantest 6857.T Equipment - Test Japan 177 SoC/HBM test leader (AI GPU test is its growth engine)
25 Disco Corp 6146.T Equipment - Dicing/Grinding Japan 41 Dicing/grinding/polishing near-monopoly; essential for HBM stacking & advanced packaging
26 Teradyne TER Equipment - Test US 70 SoC/memory test #2; robotics; AI compute test exposure
27 Shin-Etsu Chemical 4063.T Materials - Silicon Wafers/Photoresist Japan 69 #1 silicon wafer supplier + photoresists/photomask blanks
28 Entegris ENTG Materials - Specialty Chem/Filtration US 25 Ultra-pure materials, filtration, CMP — contamination control for advanced nodes
29 ASE Technology ASX OSAT - Advanced Packaging Taiwan 124 #1 OSAT (ASE/SPIL); CoWoS-like advanced packaging & test overflow for TSMC
30 Amkor Technology AMKR OSAT - Advanced Packaging US 14 #2 OSAT; building the first large US advanced-packaging site (Arizona)

Omitted for size or data reasons, but important: Nexperia, Kioxia, Lasertec, BESI (hybrid bonding), Ibiden (substrates), SUMCO, Soitec, Linde and Air Liquide (gases), JSR/TOK (resists), Zeiss (EUV optics, private), UMC, Rapidus (private), Hua Hong, Naura/AMEC (China WFE).


3. Price over time

Price history Trailing returns

Ticker Local px 1M YTD 1Y 3Y 5Y vs 52w high Max DD (5Y)
NVDA 233.95 USD 4% 26% 24% 439% 1,033% -1% -66%
AVGO 355.14 USD -3% 3% 6% 350% 696% -26% -41%
AMD 633.91 USD 39% 196% 273% 533% 519% 0% -65%
QCOM 184.87 USD 9% 10% 12% 79% 60% -26% -44%
MRVL 272.29 USD 32% 221% 217% 423% 364% -14% -62%
ARM 307.49 USD 31% 181% 102% 496% – -30% -54%
SNPS 489.90 USD 18% 4% 4% 9% 62% -8% -43%
CDNS 351.35 USD 15% 12% 1% 54% 130% -16% -34%
TSM 472.78 USD 14% 57% 66% 476% 359% -1% -56%
005930.KS 276,000.00 KRW 13% 147% 224% 328% 266% -14% -54%
INTC 119.33 USD 33% 223% 220% 240% 141% -15% -71%
GFS 50.17 USD 14% 44% 41% -10% – -44% -62%
0981.HK 60.25 HKD -12% -16% -33% 205% 171% -34% -54%
TXN 293.80 USD 15% 72% 65% 104% 75% -11% -33%
IFX.DE 64.64 EUR 13% 65% 83% 129% 88% -29% -56%
MU 1,074.89 USD 12% 277% 486% 1,502% 1,451% -11% -58%
000660.KS 1,841,000.00 KRW 17% 203% 387% 1,550% 1,612% -28% -57%
ASML 1,867.31 USD 11% 75% 82% 235% 164% -6% -57%
AMAT 540.04 USD 23% 111% 143% 304% 336% -25% -55%
LRCX 347.49 USD 21% 104% 137% 476% 542% -20% -56%
KLAC 206.89 USD 20% 71% 83% 369% 548% -31% -44%
8035.T 12,100.00 JPY 20% 82% 111% 213% 203% -18% -58%
ASM.AS 944.80 EUR 15% 76% 65% 163% 189% -14% -57%
6857.T 38,630.00 JPY 20% 95% 139% 773% 1,051% 0% -55%
6146.T 60,290.00 JPY 11% 25% 10% 111% 342% -30% -61%
TER 449.04 USD 31% 132% 211% 361% 318% -7% -59%
4063.T 6,030.00 JPY 5% 24% 17% 40% 28% -22% -47%
ENTG 166.47 USD 27% 98% 73% 85% 36% -9% -59%
ASX 47.45 USD 28% 198% 330% 594% 654% 0% -46%
AMKR 56.02 USD 19% 43% 90% 165% 139% -40% -66%
SOXX 588.90 USD 18% 96% 110% 285% 311% -10% -46%
SPY 769.64 USD 1% 14% 16% 89% 89% -1% -24%
ACWI 160.09 USD -0% 14% 17% 85% 73% -1% -26%

Reading the tape - Leadership rotated. In 2023–24 the story was "GPU + TSMC". In 2025–26 the gains broadened to memory (HBM), Samsung, test (Advantest, Teradyne), OSAT (ASE) and a speculative Intel/AMD/Arm rally. Broadcom and EDA lagged. - Drawdowns are brutal (ch.5 tail risk). Every name except CDNS and TXN lost more than 40% peak-to-trough within the last 5 years. Intel lost -71%, NVIDIA -66% and SOXX -46%. The April-2025 tariff shock is visible across all panels. - Distance from 52-week highs shows the summer-2026 correction: SOXX is -10% from its high, with GFS, AMKR, SMIC and KLAC 31%–44% off.

Drawdowns


4. Risk & return statistics (BKM ch.5)

Ticker Arith. mean Geo. mean σ (ann.) Sharpe Sortino Skew Ex. kurt VaR 5% (1m) ES 5% (1m)
NVDA 81% 62% 50% 1.15 2.18 -0.04 -0.23 -17.0% -23.5%
AVGO 63% 51% 42% 1.11 2.46 0.84 1.32 -14.0% -15.6%
AMD 74% 43% 69% 0.77 1.71 1.11 1.65 -20.7% -24.0%
QCOM 20% 10% 45% 0.33 0.61 1.03 1.73 -13.2% -20.3%
MRVL 64% 35% 66% 0.71 1.32 0.62 1.31 -22.0% -32.1%
ARM 138% 76% 90% 0.94 2.43 1.53 3.53 -19.6% -26.3%
SNPS 14% 8% 34% 0.28 0.45 0.36 -0.34 -13.1% -16.0%
CDNS 22% 17% 30% 0.54 0.94 0.26 0.12 -11.5% -15.7%
TSM 43% 35% 37% 0.89 1.67 0.33 0.21 -13.8% -15.5%
005930.KS 42% 29% 47% 0.67 1.34 0.81 1.00 -15.3% -20.5%
INTC 46% 20% 72% 0.48 1.06 2.57 12.84 -19.7% -31.4%
GFS 15% -0% 54% 0.19 0.30 0.28 1.10 -19.7% -31.9%
0981.HK 38% 22% 51% 0.57 1.00 0.39 0.54 -15.0% -28.0%
TXN 17% 11% 35% 0.35 0.67 1.56 4.84 -10.2% -12.2%
IFX.DE 25% 11% 51% 0.37 0.68 1.10 2.27 -18.2% -22.0%
MU 107% 73% 68% 1.05 2.59 1.49 4.28 -16.5% -24.0%
000660.KS 111% 74% 70% 1.05 2.67 1.40 3.01 -17.6% -25.8%
ASML 31% 21% 42% 0.56 0.97 0.39 -0.07 -15.7% -18.2%
AMAT 48% 33% 49% 0.73 1.40 0.92 3.41 -13.1% -22.8%
LRCX 60% 43% 48% 0.91 1.72 0.17 0.09 -16.2% -22.7%
KLAC 58% 44% 45% 0.94 1.80 0.59 4.91 -12.6% -22.1%
8035.T 41% 24% 51% 0.60 1.00 0.13 0.17 -20.7% -26.7%
ASM.AS 36% 21% 50% 0.56 0.96 0.32 -0.16 -19.3% -22.3%
6857.T 88% 59% 63% 0.97 2.10 0.82 1.16 -20.0% -26.2%
6146.T 49% 33% 50% 0.75 1.32 0.20 -0.19 -19.6% -23.3%
TER 46% 30% 50% 0.71 1.16 -0.12 -0.39 -20.9% -25.7%
4063.T 10% 4% 33% 0.18 0.28 0.20 -0.27 -11.3% -17.5%
ENTG 17% 5% 48% 0.24 0.41 0.65 1.00 -15.2% -22.2%
ASX 63% 48% 46% 0.99 2.13 0.88 1.59 -13.5% -18.9%
AMKR 36% 18% 56% 0.49 0.86 0.47 1.31 -16.9% -26.5%
SOXX 41% 32% 38% 0.82 1.54 0.50 1.27 -13.4% -18.1%
SPY 15% 14% 16% 0.66 1.07 -0.28 -0.27 -5.9% -8.8%
  • Arithmetic > geometric means everywhere. The gap is roughly σ²/2, so high-volatility names (INTC, AMD, MRVL, ARM) lose the most to volatility drag. Intel's arithmetic mean is 46%, but it compounded at only 20%.
  • Non-normality. Returns are mostly positively skewed (a "lottery-like" right tail) with fat tails; Intel's excess kurtosis is 12.8. So VaR/ES are more informative than σ alone. A 1-in-20 bad month (VaR 5%) costs 10%–22%.
  • Sharpe ratios: Broadcom 1.11, NVIDIA 1.15, Micron and SK hynix ~1.05 vs SPY 0.66. Ex post, the sector's risk was well paid, but that is the realized outcome of a boom, not an ex-ante expectation.

5. Single-index model & CAPM (BKM ch.8–9)

\(R_i = \alpha_i + \beta_i R_M + e_i\) (monthly excess returns vs SPY), Blume-adjusted \(\beta_{adj} = \tfrac{2}{3}\hat\beta + \tfrac{1}{3}\), and \(k = r_f^{10y} + \beta_{adj} \times MRP\).

Ticker β (SPY) Adj. β β (SOXX) α (ann.) t(α) R² σ(e) CAPM k
NVDA 2.21 1.81 0.88 34.4% 2.07 0.47 36% 15.2%
AVGO 1.46 1.31 0.62 31.1% 1.94 0.30 35% 12.5%
AMD 2.46 1.98 1.56 27.5% 1.04 0.31 58% 16.1%
QCOM 1.66 1.44 0.83 -2.4% -0.15 0.33 37% 13.2%
MRVL 2.26 1.84 1.36 23.3% 0.90 0.28 56% 15.4%
ARM 3.75 2.83 1.51 21.4% 0.44 0.26 78% 20.9%
SNPS 1.22 1.15 0.50 -3.2% -0.24 0.30 29% 11.6%
CDNS 1.13 1.09 0.47 4.6% 0.41 0.34 24% 11.3%
TSM 1.35 1.24 0.74 18.7% 1.36 0.33 30% 12.1%
005930.KS 1.50 1.33 0.87 16.3% 0.86 0.24 41% 12.6%
INTC 2.23 1.82 1.37 11.7% 0.40 0.23 63% 15.3%
GFS 1.79 1.53 1.05 -6.1% -0.28 0.26 46% 13.7%
0981.HK 0.39 0.60 0.29 24.8% 1.07 0.01 51% 8.6%
TXN 1.36 1.24 0.68 -2.0% -0.16 0.37 27% 12.1%
IFX.DE 2.25 1.83 1.09 -4.7% -0.28 0.48 37% 15.4%
MU 2.23 1.82 1.39 48.1% 1.80 0.26 58% 15.3%
000660.KS 2.31 1.88 1.49 49.4% 1.78 0.26 60% 15.6%
ASML 1.76 1.51 0.87 5.3% 0.36 0.42 32% 13.6%
AMAT 1.58 1.39 1.00 19.6% 1.01 0.25 43% 12.9%
LRCX 1.84 1.56 1.10 24.9% 1.39 0.35 39% 13.9%
KLAC 1.44 1.30 0.91 27.8% 1.54 0.25 39% 12.4%
8035.T 1.89 1.59 1.09 11.1% 0.58 0.33 42% 14.0%
ASM.AS 2.02 1.68 1.07 6.7% 0.38 0.40 39% 14.5%
6857.T 2.06 1.71 1.12 39.5% 1.59 0.26 54% 14.7%
6146.T 1.55 1.37 0.88 21.0% 1.05 0.24 44% 12.8%
TER 1.75 1.50 0.96 16.8% 0.88 0.30 41% 13.5%
4063.T 1.36 1.24 0.57 -8.3% -0.73 0.42 25% 12.1%
ENTG 1.40 1.26 0.92 -2.8% -0.14 0.20 43% 12.2%
ASX 1.65 1.43 1.04 28.7% 1.62 0.31 39% 13.2%
AMKR 2.22 1.81 1.19 4.4% 0.22 0.38 44% 15.2%
SOXX 1.80 1.53 1.00 12.2% 1.05 0.55 25% 13.7%

SML

Takeaways - Cost of equity is high: 8–21%, mostly 12–21%. A 5.1% 10-year yield combined with β_adj of 0.6 (SMIC) to 2.9 (Arm) gives k = 8–21%. That is why long-duration growth names (ARM, AMD, MRVL) are so sensitive to rates. - Systematic share of variance (R²) is only 2–48% (median 0.30). SMIC's R² of 0.01 shows market segmentation (ch.25): its price is driven by China policy, not the US market. - Nearly every name plots above the ex-post SML (positive Jensen α), but t-stats are mostly below 2. Per ch.11/13 this is consistent with a sector-specific shock (AI demand) that CAPM does not price, not with persistent mispricing. - β vs SOXX is the right hedge ratio for sector-relative trades: MU 1.39, SK hynix 1.49, AMD 1.56, while Synopsys and Cadence are ~0.5. EDA works as a defensive sleeve inside semis.


6. Multifactor exposures — Fama-French 5 + Momentum (BKM ch.10, 13)

Factors through 2026-08; coefficients are loadings.

Ticker FF α (ann.) t(α) Mkt SMB HML RMW CMA MOM R²
NVDA 41.7% 2.63 2.05 -0.48 -1.13 0.63 -0.17 -0.19 0.62
AVGO 37.0% 2.22 1.38 -0.29 -1.02 0.38 0.35 0.25 0.39
AMD 27.3% 1.03 2.17 -0.68 -0.24 -1.19 -1.07 0.45 0.44
QCOM -7.2% -0.41 1.55 -1.04 0.85 -0.63 -1.26 -0.29 0.41
MRVL 26.4% 1.10 1.96 0.03 -0.37 -1.67 -0.69 0.92 0.49
ARM 28.9% 0.56 2.26 -0.14 -2.00 -2.88 0.61 0.70 0.49
SNPS 0.9% 0.07 1.03 -0.05 -0.18 0.15 -0.94 0.13 0.41
CDNS 10.8% 1.05 0.94 -0.14 -0.63 0.01 -0.55 0.24 0.56
TSM 20.2% 1.39 1.29 -0.60 -0.48 -0.47 0.30 -0.13 0.40
005930.KS 14.7% 0.72 1.48 -0.53 0.28 -1.01 0.36 -0.01 0.29
INTC -0.9% -0.03 2.20 -0.06 1.10 -1.44 -0.73 1.20 0.39
GFS -5.4% -0.24 1.75 1.04 -0.03 -0.20 -0.03 1.04 0.37
0981.HK 23.5% 0.98 0.37 -1.10 0.27 -1.19 -0.29 0.47 0.14
TXN -3.5% -0.26 1.37 0.51 0.13 0.22 0.08 0.39 0.41
IFX.DE -8.0% -0.44 2.27 -0.61 0.27 -0.74 0.20 0.27 0.51
MU 45.9% 1.70 2.14 -1.05 0.50 -2.35 0.25 0.18 0.40
000660.KS 51.0% 1.86 2.13 -1.46 -0.08 -2.52 0.26 0.18 0.43
ASML 5.6% 0.35 1.71 -0.01 -0.09 -0.23 -0.03 0.30 0.44
AMAT 20.5% 1.02 1.53 0.43 -0.23 -0.69 0.22 0.79 0.36
LRCX 26.6% 1.43 1.74 0.06 -0.13 -0.86 0.04 0.52 0.44
KLAC 24.9% 1.38 1.42 0.16 0.15 -0.71 -0.14 0.97 0.39
8035.T 13.9% 0.72 1.82 -0.09 -0.57 -1.24 0.74 0.57 0.46
ASM.AS 12.4% 0.68 1.84 -0.10 -0.85 -0.34 -0.08 0.42 0.49
6857.T 52.4% 2.00 1.89 0.44 -1.73 -0.49 1.35 0.49 0.34
6146.T 24.6% 1.19 1.57 0.82 -0.76 0.07 0.80 1.07 0.34
TER 23.5% 1.17 1.63 1.05 -0.88 -0.06 0.67 0.54 0.37
4063.T -6.8% -0.54 1.35 -0.00 0.09 -0.28 0.30 -0.21 0.44
ENTG 3.9% 0.20 1.14 0.80 -0.16 -1.01 -0.44 0.32 0.36
ASX 26.5% 1.45 1.60 -0.34 -0.07 -1.04 0.31 0.28 0.40
AMKR 2.7% 0.13 2.17 0.41 0.38 -0.72 -0.14 0.70 0.46
  • HML strongly negative for NVDA, AVGO, ARM and Advantest: these are pure growth exposures that suffer when value rallies.
  • RMW negative for memory, SMIC, Samsung, Intel and ARM: returns co-move with unprofitable firms, a signature of cyclicality and speculation.
  • Momentum loadings are significant for KLAC, Disco, GFS and Intel. Momentum crashes (ch.12) are therefore a real portfolio risk.
  • Alphas that survive 6 factors: NVDA 42% (t=2.63), AVGO 37% (t=2.22), Advantest 52% (t=2.00). These are the AI-bottleneck owners (GPU, custom ASIC, HBM, HBM/GPU test).

7. Performance evaluation (BKM ch.24)

Sharpe (total risk), Treynor (β risk), Jensen α, Information ratio = α/σ(e), and M² = (S_p − S_M)·σ_M, a return-equivalent at market volatility.

Ticker Sharpe Treynor Jensen α Info ratio M²
NVDA 1.15 26.0% 34.4% 0.95 7.5%
AVGO 1.11 31.7% 31.1% 0.89 6.9%
MU 1.05 32.0% 48.1% 0.83 6.0%
000660.KS 1.05 31.8% 49.4% 0.82 5.9%
ASX 0.99 27.8% 28.7% 0.74 5.0%
6857.T 0.97 29.6% 39.5% 0.73 4.8%
KLAC 0.94 29.7% 27.8% 0.71 4.4%
ARM 0.94 22.8% 21.4% 0.28 4.4%
LRCX 0.91 23.9% 24.9% 0.64 3.8%
TSM 0.89 24.2% 18.7% 0.62 3.6%
SOXX 0.82 17.2% 12.2% 0.48 2.4%
AMD 0.77 21.6% 27.5% 0.48 1.6%
6146.T 0.75 23.9% 21.0% 0.48 1.3%
AMAT 0.73 22.8% 19.6% 0.46 1.1%
TER 0.71 20.0% 16.8% 0.41 0.7%
MRVL 0.71 20.7% 23.3% 0.42 0.7%
005930.KS 0.67 21.3% 16.3% 0.40 0.1%
SPY 0.66 10.4% 0.0% – 0.0%
8035.T 0.60 16.3% 11.1% 0.27 -1.0%
0981.HK 0.57 73.6% 24.8% 0.49 -1.5%
ASML 0.56 13.4% 5.3% 0.17 -1.7%
ASM.AS 0.56 13.7% 6.7% 0.17 -1.7%
CDNS 0.54 14.5% 4.6% 0.19 -1.9%
AMKR 0.49 12.4% 4.4% 0.10 -2.7%
INTC 0.48 15.6% 11.7% 0.19 -2.8%
IFX.DE 0.37 8.3% -4.7% -0.13 -4.6%
TXN 0.35 8.9% -2.0% -0.07 -4.9%
QCOM 0.33 8.9% -2.4% -0.07 -5.2%
SNPS 0.28 7.8% -3.2% -0.11 -6.1%
ENTG 0.24 8.4% -2.8% -0.07 -6.6%
GFS 0.19 5.8% -6.1% -0.13 -7.4%
4063.T 0.18 4.3% -8.3% -0.33 -7.6%

Which measure to use (ch.24): use Sharpe/M² if the stock is your whole risky portfolio, Treynor/Jensen if it is one of many holdings in a diversified portfolio, and the information ratio for an active satellite added to an index core. By M², the leaders are NVDA, AVGO, MU, SK hynix, ASX and Advantest and the laggards are Shin-Etsu, GFS, ENTG, SNPS and QCOM.


8. Currency decomposition for foreign listings (BKM ch.25)

\(1 + r_{USD} = (1 + r_{local})(1 + r_{FX})\)

Ticker Window Ccy Local return FX vs USD USD return FX contribution
005930.KS 1Y KRW 210% 4.4% 224% 14%
005930.KS 5Y KRW 315% -11.8% 266% -49%
0981.HK 1Y HKD -33% -0.8% -33% -1%
0981.HK 5Y HKD 173% -0.8% 171% -2%
IFX.DE 1Y EUR 90% -4.1% 83% -8%
IFX.DE 5Y EUR 94% -2.7% 88% -5%
000660.KS 1Y KRW 367% 4.4% 387% 21%
000660.KS 5Y KRW 1,842% -11.8% 1,612% -230%
8035.T 1Y JPY 127% -6.9% 111% -16%
8035.T 5Y JPY 329% -29.4% 203% -126%
ASM.AS 1Y EUR 72% -4.1% 65% -7%
ASM.AS 5Y EUR 197% -2.7% 189% -8%
6857.T 1Y JPY 157% -6.9% 139% -18%
6857.T 5Y JPY 1,531% -29.4% 1,051% -480%
6146.T 1Y JPY 19% -6.9% 10% -8%
6146.T 5Y JPY 526% -29.4% 342% -184%
4063.T 1Y JPY 25% -6.9% 17% -9%
4063.T 5Y JPY 82% -29.4% 28% -53%
  • Yen weakness (−30% vs USD over 5Y) cost US investors a lot: Advantest made +1,531% in yen but only +1,051% in USD, and Shin-Etsu's +53% in yen became +6%.
  • KRW fell 12.5% over 5Y but helped over the last year (+2.9%). Currency exposure is a separate bet (ch.25): hedge it with forwards (interest-rate parity, ch.23) if you want pure equity exposure.

9. Financial statement analysis — DuPont & earnings quality (BKM ch.19)

\(ROE = \underbrace{\tfrac{NI}{PTI}}_{\text{tax}} \times \underbrace{\tfrac{PTI}{EBIT}}_{\text{interest}} \times \underbrace{\tfrac{EBIT}{Sales}}_{\text{margin}} \times \underbrace{\tfrac{Sales}{Assets}}_{\text{turnover}} \times \underbrace{\tfrac{Assets}{Equity}}_{\text{leverage}}\) (latest fiscal year)

Ticker FY Gross m. EBIT m. Tax burden Int. burden Asset turn Leverage ROE R&D/Sales Capex/Sales FCF/NI Accruals DOL Int. cover Net cash (USD bn)
NVDA 2026-01 71% 66% 0.85 1.00 1.36 1.35 101% 9% 3% 0.81 0.109 1.0 547 -0.4
AVGO 2025-10 68% 41% 1.02 0.88 0.38 2.26 31% 17% 1% 1.16 -0.026 3.6 8 -49.0
AMD 2025-12 50% 12% 1.05 0.97 0.47 1.21 7% 23% 3% 1.55 -0.046 3.1 33 1.7
QCOM 2025-09 55% 30% 0.44 0.95 0.84 2.22 23% 20% 3% 2.31 -0.161 1.5 20 -9.3
MRVL 2026-01 51% 40% 0.88 0.94 0.39 1.53 19% 25% 4% 0.52 0.043 -13.3 16 -2.2
ARM 2026-03 98% 18% 0.78 1.27 0.50 1.30 12% 56% 12% 1.05 -0.063 0.4 – 2.3
SNPS 2025-10 77% 26% 0.96 0.76 0.23 1.64 7% 35% 2% 1.01 -0.006 1.2 4 -11.4
CDNS 2025-12 86% 31% 0.73 0.93 0.55 1.88 22% 33% 3% 1.43 -0.065 0.8 14 0.4
TSM 2025-12 60% 54% 0.83 0.99 0.52 1.52 35% 6% 34% 0.58 -0.079 1.4 166 53.6
005930.KS 2025-12 39% 15% 0.89 0.99 0.62 1.33 11% 11% 16% 0.75 -0.076 2.8 83 24.3
INTC 2025-12 35% 5% -0.17 0.59 0.26 1.91 -0% 26% 28% – -0.049 – 2 -32.3
GFS 2025-12 25% 14% 0.97 0.95 0.40 1.49 8% 8% 11% 1.14 -0.050 – 19 0.1
0981.HK 2025-12 21% 16% 0.64 0.74 0.18 2.41 3% 8% 90% -7.60 -0.049 2.9 4 -6.7
TXN 2025-12 57% 35% 0.88 0.91 0.50 2.11 30% 12% 26% 0.52 -0.061 0.4 12 -10.8
IFX.DE 2025-09 39% 11% 0.74 0.86 0.50 1.72 6% 15% 14% 1.11 -0.075 – 7 -6.6
MU 2025-08 40% 27% 0.88 0.95 0.49 1.53 17% 10% 42% 0.20 -0.118 9.5 21 -5.6
000660.KS 2025-12 60% 53% 0.85 0.98 0.66 1.52 44% 7% 29% 0.58 -0.071 2.2 56 -7.3
ASML 2025-12 53% 35% 0.84 0.99 0.66 2.60 50% 14% 5% 1.15 – 1.6 97 9.6
AMAT 2025-10 49% 34% 0.75 0.97 0.80 1.79 36% 13% 8% 0.81 -0.027 3.1 35 0.2
LRCX 2026-06 50% 36% 0.88 0.98 1.04 2.01 65% 10% 4% 0.67 0.063 1.4 54 1.8
KLAC 2026-06 61% 43% 0.86 0.95 0.80 3.08 87% 11% 3% 0.78 0.040 1.6 21 -4.5
8035.T 2026-03 45% 26% 0.77 1.20 0.89 1.40 29% 11% 9% 0.56 0.013 – – –
ASM.AS 2025-12 52% 29% 0.78 1.00 0.60 1.35 19% 13% 15% 0.82 -0.064 0.8 1,029 1.1
6857.T 2026-03 64% 46% 0.73 0.99 1.11 1.56 58% – 3% 0.80 0.040 2.8 189 2.0
6146.T 2026-03 70% 42% 0.74 0.99 0.63 1.29 25% – 8% 0.73 0.003 1.0 – –
TER 2025-12 58% 21% 0.85 0.99 0.81 1.41 20% 16% 7% 0.81 -0.031 0.6 96 0.0
4063.T 2026-03 34% 28% 0.67 1.00 0.46 1.24 10% – 14% 0.75 -0.042 – 263 9.0
ENTG 2025-12 44% 14% 0.93 0.56 0.38 2.19 6% 10% 9% 1.68 -0.055 – 2 -3.4
ASX 2025-12 18% 9% 0.78 0.87 0.79 2.46 12% 5% 26% -0.59 -0.125 2.5 8 -5.4
AMKR 2025-12 14% 8% 0.84 0.85 – – 9% 2% 13% 0.51 – 0.8 7 -0.2

DuPont

Quality of ROE - NVIDIA's ~101% ROE is high-quality. It comes from a 66% EBIT margin and 1.36× asset turnover with low leverage (1.35×). KLAC's 87% leans on 3.1× leverage from buybacks and debt, a less durable source of ROE. - The accruals ratio (NI − OCF)/assets flags NVIDIA (0.109), LRCX, KLAC and Advantest: earnings running ahead of cash (receivables/inventory build). That is typical in a hyper-growth year but worth monitoring (ch.19 quality of earnings). - Capital intensity splits the chain. Foundry/memory/IDM spend 11–90% of sales on capex (SMIC 90%, MU 42%, TSMC 34%, Intel 28%). Fabless, EDA and equipment spend 1–10% but 9–56% on R&D. Capex-heavy models have higher operating leverage. - Operating leverage (ch.17), DOL = %ΔEBIT / %ΔSales: Micron 9.5×, AVGO 3.6×, AMAT 3.1×, AMD 3.1×. Memory profits amplify revenue swings roughly 10×, in both directions. - Intel has near-zero ROE with an interest burden of 0.59; SMIC has negative FCF (FCF/NI −7.6); ASE and Amkor have negative TTM FCF because of the packaging capex race.


10. Valuation (BKM ch.18)

  • PVGO/P \(= 1 - (E_1/P)/k\): the share of price that depends on future growth opportunities.
  • Sustainable growth \(g = ROE \times b\).
  • Constant-growth P/E \(= (1-b)/(k - ROE \cdot b)\) fails (k ≤ g) for almost all of these names. That is itself a signal that a multistage model is needed.
  • Two-stage DCF: CF₁ = forward earnings × FCF conversion (0.3–1.0). Growth g₁ = min(ROE·b, 25%) for year 2, fading linearly to 4% by year 10, then a Gordon terminal value at k (CAPM).
  • Implied g (stage 1): the starting growth rate that makes the model value equal today's market cap (reverse DCF).
Ticker Trail P/E Fwd P/E EV/EBITDA P/S P/B FCF yld Div yld k (CAPM) g=ROE×b PVGO/P Implied g (stage 1) 2-stage DCF vs px Street tgt upside
NVDA 29.6 14.9 28.0 18.6 35.9 0.7% 0.12% 15.2% 113% 56% 28% -7% 40%
AVGO 45.2 18.3 33.1 19.0 20.9 1.8% 0.72% 12.5% 30% 56% 17% 29% 50%
AMD 156.1 40.7 107.3 25.1 16.4 0.9% 0.00% 16.1% 10% 85% 58% -76% -2%
QCOM 21.2 18.1 17.0 4.5 9.3 5.2% 1.94% 13.2% 20% 58% 20% 1% 5%
MRVL 88.4 40.3 86.3 25.9 17.1 1.0% 0.09% 15.4% 15% 84% 78% -84% 8%
ARM 317.0 100.7 305.5 63.7 39.6 0.4% 0.00% 20.9% 13% 95% 113% -92% -6%
SNPS 85.5 26.4 48.7 10.0 3.3 3.6% 0.00% 11.6% 4% 67% 24% -51% 16%
CDNS 70.0 36.7 45.5 16.6 17.7 1.7% 0.00% 11.3% 23% 76% 33% -28% 15%
TSM 35.3 21.6 23.8 17.6 14.6 0.9% 0.73% 12.1% 30% 62% 37% -32% 17%
005930.KS – 3.9 7.2 3.7 4.3 3.8% 0.54% 12.6% 28% -103% -20% 345% 73%
INTC – 57.9 38.7 11.1 5.5 0.8% 0.00% 15.3% -11% 89% 86% -92% -2%
GFS 39.2 19.1 13.8 4.0 2.3 2.7% 0.24% 13.7% 6% 62% 23% -43% 51%
0981.HK 59.1 33.6 12.7 6.3 3.1 -6.2% 0.00% 8.6% 4% 65% 51% -80% 59%
TXN 44.7 27.6 28.9 13.8 16.5 1.3% 1.91% 12.1% 5% 70% 49% -76% 11%
IFX.DE 78.8 22.7 21.4 5.4 4.9 2.1% 0.54% 15.4% 4% 71% 35% -61% 34%
MU 14.5 5.2 10.8 9.1 22.4 2.4% 0.05% 15.3% 88% -25% 26% -3% 41%
000660.KS – 3.9 8.6 6.9 10.8 4.3% 0.08% 15.6% 91% -64% -4% 143% 71%
ASML 64.9 32.1 46.8 18.0 32.5 1.3% 0.46% 13.6% 38% 77% 39% -36% 12%
AMAT 46.5 29.3 42.0 13.9 21.0 0.7% 0.35% 12.9% 34% 74% 40% -38% 18%
LRCX 60.4 29.6 50.2 18.7 34.9 0.7% 0.30% 13.9% 53% 76% 51% -55% 8%
KLAC 56.5 30.9 44.8 19.9 42.5 1.0% 0.39% 12.4% 68% 74% 41% -40% 13%
8035.T 9.7 9.5 34.8 10.5 13.3 1.1% 1.04% 14.0% 28% 25% 21% 15% 26%
ASM.AS 43.3 30.5 39.0 13.7 11.5 0.5% 0.34% 14.5% 23% 77% 48% -54% 19%
6857.T 74.6 74.6* 47.3 22.6 35.0 1.3% 0.15% 14.7% 50% 91% 82% -81% 10%
6146.T 48.3 44.3 29.2 14.2 11.1 1.5% 0.84% 12.8% 16% 82% 57% -72% 36%
TER 57.1 38.5 46.5 15.7 25.1 0.6% 0.12% 13.5% 34% 81% 52% -56% -1%
4063.T 23.9 18.3 10.8 4.2 2.5 2.2% 1.76% 12.1% 7% 55% 24% -45% 29%
ENTG 83.2 33.2 31.2 7.6 6.4 1.9% 0.24% 12.2% 6% 75% 35% -61% 4%
ASX 57.9 24.3 29.4 5.5 11.5 -2.7% 0.88% 13.2% 8% 69% 69% -84% 7%
AMKR 25.1 20.0 10.6 1.9 3.1 -2.7% 0.59% 15.2% 11% 67% 53% -72% 36%

* Advantest's forward P/E from the data feed (140×) is inconsistent with its trailing P/E, so the trailing P/E is used instead.

Valuation

Interpretation - Least demanding relative to fundamentals: NVIDIA (implied g ≈ 28% vs ROE·b >100%, forward P/E 14.9), Broadcom (17%), Qualcomm (20%), Synopsys (24%). Also Samsung and SK hynix, but only if HBM earnings prove durable (see the cyclical-peak caveat). - Most demanding: Arm (113% implied growth, 95% PVGO, forward P/E 101×), Intel (86%, a turnaround option on 18A/14A plus government backing), Marvell, Advantest, Tokyo Electron and ASE. - Equipment (ASML, AMAT, LRCX, KLAC) needs 35–46% stage-1 growth: plausible only if WFE stays at records through 2027–28. - Street targets imply +23% upside on average (median 17%). Sell-side optimism is well documented (ch.12/27), so treat these as relative, not absolute, signals.


11. Momentum & technicals (BKM ch.11–12)

Ticker 12-1 mom. vs 50DMA vs 200DMA 50>200 (golden) RSI(14) 6M RS vs SOXX
NVDA 13% 7% 16% ✅ 63 -41%
AVGO -4% -5% -3% ✅ 48 -60%
AMD 139% 24% 67% ✅ 70 118%
QCOM 4% 8% 10% ✅ 53 -26%
MRVL 182% 20% 60% ✅ 65 81%
ARM 71% 16% 40% ✅ 59 33%
SNPS -4% 20% 10% ❌ 75 -50%
CDNS -3% 11% 8% ❌ 72 -48%
TSM 53% 11% 21% ✅ 72 -33%
005930.KS 165% 10% 28% ✅ 58 -7%
INTC 201% 18% 44% ✅ 61 63%
GFS 35% 5% -9% ❌ 59 -58%
0981.HK -20% -9% -13% ❌ 36 -56%
TXN 76% 9% 18% ✅ 71 -21%
IFX.DE 71% 8% 13% ✅ 62 -12%
MU 376% 12% 54% ✅ 59 120%
000660.KS 236% 13% 36% ✅ 58 63%
ASML 72% 9% 20% ✅ 65 -31%
AMAT 121% 11% 25% ✅ 70 -18%
LRCX 110% 14% 25% ✅ 68 -14%
KLAC 62% 11% 15% ✅ 68 -37%
8035.T 77% 13% 23% ✅ 66 -9%
ASM.AS 55% 11% 15% ✅ 66 -37%
6857.T 45% 17% 39% ✅ 71 7%
6146.T 10% 5% -8% ❌ 64 -81%
TER 121% 20% 32% ✅ 70 -28%
4063.T 26% 2% -4% ❌ 56 -79%
ENTG 69% 17% 24% ✅ 69 -30%
ASX 180% 22% 53% ✅ 69 42%
AMKR 63% 9% -3% ❌ 59 -53%
  • Momentum (12-1-month; Jegadeesh-Titman, ch.11) is extreme in memory (MU 376%, SK hynix 236%), Samsung, ASE, AMD, Intel and Marvell.
  • Overbought (RSI > 70): AMD, SNPS, CDNS, TSM, TXN, Advantest and TER. Oversold (RSI < 30): none.
  • Below the 200-day average: AVGO, GFS, SMIC, Disco, Shin-Etsu and AMKR. These are candidates for mean reversion (DeBondt-Thaler) if fundamentals hold.
  • EMH caveat: these signals are weak-form information. Ch.12 supports momentum as a behavioral anomaly (underreaction, then overreaction), but momentum crashes after sharp reversals are its known failure mode.

12. Options market view (BKM ch.21)

Ticker ATM IV Realized σ (1Y) IV/RV Implied ±1σ 1-month move Expiry
NVDA 29% 37% 0.80 8.5% 2026-10-30
AVGO 36% 45% 0.80 10.3% 2026-10-30
AMD 49% 67% 0.72 14.1% 2026-10-30
QCOM 48% 54% 0.90 14.0% 2026-10-30
MRVL 61% 78% 0.78 17.7% 2026-10-30
ARM 67% 78% 0.86 19.4% 2026-10-30
SNPS 51% 43% 1.18 14.9% 2026-10-30
CDNS 52% 40% 1.31 15.1% 2026-10-30
TSM 33% 38% 0.87 9.6% 2026-10-30
INTC 70% 77% 0.91 20.1% 2026-10-30
GFS 61% 59% 1.03 17.6% 2026-11-20
TXN 53% 42% 1.25 15.2% 2026-10-30
MU 50% 80% 0.62 14.3% 2026-10-30
ASML 47% 46% 1.04 13.7% 2026-10-30
AMAT 54% 59% 0.91 15.5% 2026-10-30
LRCX 61% 64% 0.96 17.6% 2026-10-30
KLAC 63% 60% 1.05 18.1% 2026-10-30
TER 79% 76% 1.04 22.9% 2026-10-30
ENTG 66% 66% 0.99 19.0% 2026-11-20
ASX 58% 56% 1.04 16.7% 2026-11-20
AMKR 76% 78% 0.98 22.0% 2026-10-30
  • Implied vol is below trailing realized vol for 13 of 21 US-listed names (NVDA IV/RV 0.80, MU 0.62). Options are relatively cheap for hedging concentrated gains, e.g. protective puts or collars (ch.20).
  • The implied ±1σ one-month move is ±9–21% (NVDA ±8%, INTC ±20%). Use these to size positions.
  • IV > RV for SNPS, CDNS, GFS, TXN, ASML, KLAC, TER and ASX: the market is pricing event risk (export controls, China, earnings).

IV vs RV


13. Portfolio construction (BKM ch.6–8, 27)

Correlation & diversification (ch.7) Correlation

# stocks (equal-wt) Portfolio σ
1 53.2%
2 45.8%
5 40.8%
10 39.0%
20 38.0%
30 37.7%

Diversification within semis stops at ~38% σ, roughly 2.4× SPY. The remaining covariance is the sector factor, which can only be diversified away across sectors, or hedged with SOXX/NQ futures (ch.23).

Efficient frontier. Expected returns = CAPM + de-biased, shrunk analyst alpha. The covariance matrix is single-index (ch.8), long-only, ≤10% per name.

Frontier

Portfolio E(r) σ Sharpe β
GMV_longonly_cap10 12.5% 22.3% 0.38 1.28
MaxSharpe_longonly_cap10 19.5% 29.2% 0.53 1.68
EqualWeight 13.9% 29.3% 0.34 1.80
Ticker Global min-variance Max-Sharpe (tangency)
000660.KS 0.0% 10.0%
GFS 0.0% 10.0%
AVGO 8.1% 10.0%
6146.T 3.7% 10.0%
NVDA 0.0% 10.0%
4063.T 10.0% 10.0%
0981.HK 10.0% 10.0%
005930.KS 5.2% 10.0%
AMKR 0.0% 5.7%
IFX.DE 0.0% 5.4%
MU 0.0% 5.0%
8035.T 0.0% 2.0%
CDNS 10.0% 1.3%
SNPS 10.0% 0.6%
QCOM 2.8% 0.0%
TXN 10.0% 0.0%
ASX 2.7% 0.0%
ASML 0.7% 0.0%
ENTG 6.5% 0.0%
TSM 10.0% 0.0%
AMAT 3.4% 0.0%
KLAC 6.8% 0.0%

Capital allocation (ch.6): \(y^* = [E(r_P) - r_f]/(A\sigma_P^2)\) applied to the tangency portfolio:

Risk aversion A y* in semis tangency portfolio Complete-portfolio E(r) Complete-portfolio σ
2 91% 18.0% 26.5%
3 60% 13.4% 17.7%
4 45% 11.0% 13.2%
6 30% 8.7% 8.8%
8 23% 7.5% 6.6%

Treynor-Black active portfolio (ch.27). Alphas are 12-month analyst-implied returns minus CAPM. The average optimism bias (10%) is removed, and the remainder is shrunk by 0.25. The active portfolio is then combined with SPY:

  • Active weight \(w_A^* =\) 5%; index weight 95%; active β -3.25; IR 0.65.
  • Ex-ante Sharpe improves from 0.35 (index alone) to 0.74, using \(S_P^2 = S_M^2 + IR^2\).
Ticker Raw analyst α De-biased & shrunk α σ(e) Weight in optimal risky portfolio
005930.KS 61% 12.9% 41% 25.8%
AVGO 38% 7.1% 35% 19.7%
0981.HK 53% 10.8% 51% 14.3%
4063.T 19% 2.3% 25% 12.4%
GFS 38% 7.0% 46% 11.0%
000660.KS 54% 11.0% 60% 10.2%
NVDA 24% 3.5% 36% 9.1%
6146.T 24% 3.5% 44% 6.2%
ASX -5% -3.7% 39% -8.3%
ASML -1% -2.7% 32% -8.9%
LRCX -6% -4.0% 39% -8.9%
TXN 1% -2.2% 27% -10.0%
QCOM -6% -4.0% 37% -10.1%
TER -14% -6.0% 41% -11.9%

The largest positive tilts are Samsung, AVGO, SMIC, Shin-Etsu and GFS (the Street sees the most upside relative to their risk). The largest underweights/shorts are TER, QCOM, TXN and LRCX (priced above consensus targets). The unconstrained Treynor-Black portfolio is long/short and leveraged. Ch.27 recommends constraining tracking risk, so prefer the long-only max-Sharpe portfolio above for implementation.


14. Composite scorecard

Equal-weight z-scores: - Quality: EBIT margin, ROE, FCF conversion, low accruals. - Valuation: low PVGO/P, high FCF yield, low implied perpetual g, low forward P/E. - Risk: low β, low σ, shallow drawdown. - Momentum: 12-1 momentum, 6M relative strength vs SOXX. - Risk-adjusted performance: Sharpe, information ratio.

Rank Ticker Company Quality Valuation Risk (low=good) Momentum Risk-adj. perf Composite
1 000660.KS SK hynix 0.62 1.42 -0.85 1.55 1.32 0.81
2 MU Micron Technology 0.12 0.86 -0.77 2.47 1.33 0.80
3 005930.KS Samsung Electronics -0.26 1.60 0.29 0.49 0.07 0.44
4 AVGO Broadcom 0.26 0.37 0.93 -1.00 1.52 0.42
5 KLAC KLA Corp 0.51 -0.06 0.73 -0.39 0.98 0.35
6 TSM TSMC 0.58 0.15 0.55 -0.41 0.77 0.33
7 ASX ASE Technology -0.68 -0.43 0.52 1.03 1.11 0.31
8 CDNS Cadence Design Systems 0.31 0.12 1.66 -0.87 -0.45 0.15
9 NVDA NVIDIA 0.47 -0.08 -0.63 -0.72 1.68 0.14
10 LRCX Lam Research 0.02 -0.25 -0.02 0.09 0.83 0.14
11 QCOM Qualcomm 0.70 1.03 0.62 -0.63 -1.18 0.11
12 TXN Texas Instruments 0.24 0.11 1.44 -0.16 -1.15 0.10
13 AMAT Applied Materials 0.03 -0.14 0.16 0.12 0.27 0.09
14 6857.T Advantest 0.33 -0.85 -0.44 -0.08 1.06 0.01
15 MRVL Marvell Technology -0.12 -0.51 -0.90 1.40 0.16 0.00
16 AMD Advanced Micro Devices -0.15 -0.62 -1.23 1.50 0.35 -0.03
17 SNPS Synopsys 0.14 0.69 1.18 -0.90 -1.33 -0.05
18 ASML ASML Holding 0.42 -0.12 0.16 -0.28 -0.45 -0.06
19 8035.T Tokyo Electron -0.28 0.35 -0.18 -0.05 -0.24 -0.08
20 TER Teradyne -0.31 -0.38 -0.10 0.03 0.15 -0.12
21 6146.T Disco Corp 0.06 -0.19 -0.07 -1.10 0.32 -0.20
22 ENTG Entegris -0.02 0.12 0.13 -0.29 -1.33 -0.28
23 4063.T Shin-Etsu Chemical -0.20 0.51 0.98 -0.99 -1.82 -0.30
24 ASM.AS ASM International -0.10 -0.38 -0.20 -0.43 -0.45 -0.31
25 IFX.DE Infineon Technologies -0.04 0.02 -0.29 -0.11 -1.20 -0.32
26 0981.HK SMIC -0.99 -0.71 0.84 -1.04 0.02 -0.38
27 INTC Intel -0.62 -0.79 -1.36 1.35 -0.55 -0.40
28 GFS GlobalFoundries -0.21 0.42 -0.31 -0.75 -1.51 -0.47
29 ARM Arm Holdings 0.04 -1.55 -1.65 0.31 0.37 -0.50
30 AMKR Amkor Technology -1.00 -0.38 -0.77 -0.54 -0.66 -0.67

Scorecard

Caveat: memory ranks at the top partly because its forward P/E is low, which is exactly the ch.17 peak-earnings trap. Read the composite together with sections 9–10, not in isolation.


15. PEST analysis — global semiconductor supply chain (Sept 2026)

Factor Current state Who is exposed (+/−)
US Section 232 chip tariffs 25% tariff on certain imported advanced semis & tools since 15 Jan 2026; exemptions for US data centers/R&D/domestic-capacity use with end-use certification − importers without US fabs; + US-fab owners (INTC, TXN, MU, GFS), TSMC Arizona, AMKR Arizona
US–Taiwan deal (Jan 2026) Tariff relief for Taiwanese firms expanding US capacity + TSM, ASX (US build-outs); cost headwind to margins
Export controls on China AI-chip licenses moved to case-by-case review with strict certifications; re-export within China largely prohibited; tool controls persist − NVDA/AMD China revenue, AMAT/LRCX/KLAC/TEL/ASML China share (was 30–45% of WFE sales); + SMIC domestic substitution
China critical-mineral controls Gallium (~98% of global refined supply), germanium, rare earths; the suspension of US-directed controls expires 27 Nov 2026 − compound semis/RF/power (IFX, QCOM RF), wafer/polishing chem; + ex-China material suppliers
Industrial policy US CHIPS: USD 30.9bn of 52.7bn awarded to 19 firms across 40 projects; US government equity stake in Intel; CHIPS investment tax credit sunsets for fab starts after 31 Dec 2026. EU Chips Act 2.0 (materials focus); Japan (Rapidus 2nm, TSMC Kumamoto) + INTC, MU, TXN, GFS, Samsung Taylor, TSM Arizona; equipment demand pulled forward into 2026
Taiwan Strait Persistent tail risk; ~90% of leading-edge logic and most CoWoS is in Taiwan Systemic, for TSM and all of its customers; the core reason for "China+1 / US-onshore"

E — Economic

Factor Current state Implication (BKM link)
AI capex supercycle Hyperscaler capex ~USD 600bn in 2026 (+~70% YoY); semis revenue forecast ~USD 975bn–1.3tn Demand shock ⇒ output, prices and margins up together (ch.17); highest DOL names benefit most
Memory/HBM HBM market ~USD 55bn (+58%); DRAM ASPs up sharply; capacity shifting from commodity DRAM to HBM Classic cyclical: peak margins, low P/E, negative PVGO; the watch-item is capacity additions in 2027
Bottlenecks CoWoS sold out for 2026 (~1m wafers; NVIDIA ~60%); N2 booked into 2028 Pricing power for TSM/ASX/Disco/Advantest; volume risk if AI demand pauses
Rates & discount rates 13-wk bill 3.99%, 10-yr 5.28%; inflation above target High k (11–21%) ⇒ long-duration growth equity is rate-sensitive (ch.18); a 1% change in k moves DCF value 10–25% (see DCF_Sensitivity sheet)
FX Weak yen; KRW recently firmer Japanese exporters gain local earnings, but USD investors lose on translation (ch.25)
Concentration AI is ~half of chip revenue but a sliver of units; top-3 customers hold 85% of CoWoS High customer concentration raises σ(e); consumer, auto and industrial (TXN, IFX, QCOM) are late-cycle recovery options

S — Social

Factor Current state Implication
Talent shortage ~50k additional US technicians and engineers needed by 2030; fab timelines slipping Execution risk for greenfield fabs (INTC Ohio, TSM/Samsung/MU US sites); wage inflation
Energy & water (ESG) Fab permits increasingly tied to grid upgrades and clean-power mandates; water recycling in Arizona Capex creep; opportunity for power semis (IFX SiC/GaN) and efficiency
Consumer electronics affordability Memory reallocation to AI raises PC and phone costs Weaker unit demand for QCOM and consumer MCU; supports memory pricing
Public attitudes to AI Enthusiasm plus "AI bubble" narratives; retail options activity Behavioral finance (ch.12): extrapolation, overconfidence, momentum; crash risk if narratives flip

T — Technological

Factor Current state Winners / risk
2nm GAA + backside power TSMC N2 in volume with five fabs ramping in 2026; A16 (backside power) in 2H26; Intel 18A/14A + ASM (ALD/epi), AMAT, LRCX, KLAC (process control intensity rises); TSM lead widens
High-NA EUV In use at Intel; TSMC adopting post-A16 + ASML (ASP roughly 2× low-NA), Tokyo Electron (tracks), Lasertec
Advanced packaging (CoWoS, SoIC, hybrid bonding, glass substrates) CoWoS capacity growing ~80% CAGR, still the binding constraint + TSM, ASX, AMKR, Disco, Advantest/TER, BESI, Ibiden
HBM3E → HBM4 (logic base die) SK hynix leads, then Samsung and Micron; HBM4 base die made at TSMC + SK hynix, MU; test intensity rises (Advantest)
Custom silicon (ASICs) Hyperscalers' in-house XPUs + AVGO, MRVL, ARM (IP), SNPS/CDNS (more tape-outs); a relative threat to NVDA's share
China domestic tools/nodes Push toward sub-7nm self-sufficiency by ~2028 + SMIC, Naura/AMEC; − long-run China share for Western WFE
AI-driven EDA & chiplets (UCIe) Design complexity rising exponentially + SNPS, CDNS (secular, less cyclical); ARM chiplet ecosystems

16. Putting it together — segment verdicts

Segment Life-cycle stage (ch.17) Cyclicality / β What the numbers say Key PEST sensitivity
AI fabless (NVDA, AVGO, MRVL, AMD) Rapid growth β 1.4–2.5 Best risk-adjusted performance (NVDA/AVGO); NVDA/AVGO are the least stretched relative to fundamentals; AMD/MRVL price in far more Export controls, custom-ASIC substitution, hyperscaler capex
IP/EDA (ARM, SNPS, CDNS) Mature-growth "toll roads" β(SPY) 1.1–1.2 (ARM 3.9); SNPS/CDNS ~0.5 to SOXX SNPS/CDNS de-rated and below 200DMA, a defensive sleeve; ARM is the most expensive stock in the universe China licensing, AI-EDA adoption
Foundry/IDM (TSM, Samsung, INTC, GFS, SMIC, TXN, IFX) Mixed β 0.4–2.2 TSM: top quality with moderate implied growth; INTC: turnaround option; TXN/IFX: early-recovery analog/power Tariffs, Taiwan risk, CHIPS subsidies
Memory (MU, SK hynix, Samsung) Cyclical at a (possibly structural) peak β 2.2–2.3; highest DOL Top momentum and alpha, but negative PVGO: the market expects mean reversion 2027 capacity, HBM4 share, China DRAM
Equipment (ASML, AMAT, LRCX, KLAC, TEL, ASMI, Disco, Advantest, TER) Growth tied to capex cycle β 1.4–2.0 Implied 35–75% stage-1 growth; KLAC/LRCX best Sharpe; Disco and TEL lagging China WFE share, High-NA timing, the CHIPS 2026 cliff
Materials & OSAT (Shin-Etsu, ENTG, ASX, AMKR) Mature / capacity build β 1.3–2.2 ASE is the momentum winner (CoWoS overflow); Shin-Etsu/ENTG lag; OSATs burn FCF on capex Gallium/germanium controls, US onshoring

How to use this (ch.28 investment-policy framing)

  1. Core–satellite. Treat semis as a satellite to a diversified core. Their σ (~38% historically for an equal-weight basket) and 25–70% drawdowns matter here. Even if semis were your only risky asset, y* would be just 23–46% for A = 4–8 (see the capital-allocation table). Alongside a diversified core, a 10–25% allocation is a reasonable range for moderate risk aversion.
  2. Within the satellite: spread across chokepoints (the correlation matrix shows EDA, analog and China foundry diversify the AI-heavy core). Size positions by σ(e) using Treynor-Black logic, and cap single names at about 10%.
  3. Hedge the factor, not the stock: use SOXX puts/collars (IV currently below RV) or index futures (ch.22–23) to neutralize the sector beta while keeping stock-specific views.
  4. Monitor: Nov-27 critical-minerals deadline, Dec-31 CHIPS credit sunset, CoWoS/N2 capacity announcements, HBM contract pricing, hyperscaler capex guidance, 10-year yield (drives k), USD/JPY and USD/KRW.

Appendix — Methodology & assumptions

Item Choice Book reference
Returns Monthly total returns (adjusted close), converted to USD daily at spot FX; window 2021-10..2026-09 (60m) (ARM since its 2023 IPO, GFS since 2021) ch.5, 25
Risk-free Lagged 13-wk T-bill (monthly); 10-yr UST for cost of equity ch.5, 9
Market SPY for CAPM/index model; SOXX sector β; ACWI global β in the xlsx ch.8–9
MRP 5.5% forward-looking (hist. US arithmetic ≈8%; SPY 5Y realized 10.4%) ch.5, 9
Betas OLS on 60m excess returns; Blume adjustment ch.8
Factors Fama-French 5 + momentum (Ken French library, through 2026-08) ch.10, 13
Valuation Forward P/E, PVGO, ROE×b, constant-growth P/E, two-stage FCF with 10-yr fade to 4%, reverse-DCF implied growth, ±1% k / 3–5% g sensitivity ch.18
Fundamentals Latest fiscal-year statements (DuPont), TTM from the vendor for FCF/EBITDA; FX-converted where reporting ≠ listing currency (TSM/ASX TWD, ASML EUR, SMIC USD) ch.19
Active portfolio Analyst-target alpha, de-biased by the cross-sectional mean, shrunk ×0.25; Treynor-Black; long-only max-Sharpe with 10% caps on single-index covariance ch.7–8, 27
Limitations 5 years includes an extreme AI regime (non-stationary); vendor fundamentals have errors; forward EPS is consensus; DCFs are illustrative, not price targets; survivorship (today's winners chosen ex post) inflates historical Sharpe/α ch.11–13, 24