260506_CRA_์›”๊ฐ„_Report

CRA Monthly ยท 2026-05-06

๐Ÿ”ด EXIT PHASE

Score: 71 / 100 (โ–ผ 5.8 m/m) ยท Lead time (median, n=10): 6.5mo (95% CI 0.7โ€“23.4mo)

ใ€Œ๊ฐ•์„ธ์˜ ๋์ž๋ฝใ€

๊ฐ€์žฅ ๊ฐ€๊นŒ์šด historical ํŒจํ„ด: 1998-05-23. ์ด๋ฒˆ ๋‹ฌ์€ ๊ทธ ์‹œ์ ๊ณผ 14-D risk profile ์—์„œ ๋™๊ธ‰ cluster.

Cover Dashboard

bear ์ง„์ž… ์˜ˆ๊ณ  โ€” cash ๋น„์ค‘ ๋Š˜๋ฆฌ๊ณ  valuation premium ์ •๋ฆฌ.

score 71 โ‰ฅ 65 (exit threshold) โ†’ ์ž์‚ฐ ๋ณด์ „ phase. ๊ณผ๊ฑฐ ๋™๊ธ‰ ์‹ ํ˜ธ์˜ historical lead time ๋ถ„์„ ยง3 ์ฐธ์กฐ.


ยง 1. Top of Mind

์ด๋ฒˆ ๋‹ฌ ์‹ ํ˜ธ์˜ ๋ณธ์งˆ์€ ๋‹จ ํ•œ ๊ฐ€์ง€๋‹ค โ€” 1998-05-23 ์™€ ๋™๊ธ‰ cluster ์— ์ง„์ž…ํ–ˆ๊ณ , ๊ทธ ์‹œ์ ๋ณด๋‹ค KOSPI_PBR ๊ฐ€ ๋” elevated ํ•˜๋‹ค๋Š” ๊ฒƒ. ์šฐ๋ฆฌ๋Š” ์ด cluster ์—์„œ ์‹œ์ž‘ํ•˜๋Š” ๋ชจ๋“  historical ์‚ฌ์ดํด์ด ๊ฐ™์€ ๊ฒฐ๋ง์„ ๊ฐ–์ง€๋Š” ์•Š์•˜์Œ์„ ์•ˆ๋‹ค โ€” ๋‹จ historical median ์€ 12๊ฐœ์›” ๋‚ด -20% drawdown. ๊ทธ๋ž˜์„œ 'all-out cash' ๊ฐ€ ์•„๋‹ˆ๋ผ 'incremental de-risking' ์ด ์ •์งํ•œ ๋‹ต.


ยง 2. Lead Time Analysis โ€” ์ •๋ง '์ผ์ฐ' ์•Œ๋ฆฌ๋Š”๊ฐ€?

Q. CRA ์‹ ํ˜ธ๊ฐ€ institutional benchmark ๋Œ€๋น„ ์–ผ๋งˆ๋‚˜ ์ผ์ฐ ๋ฐœ์ƒํ•˜๋‚˜?

Lead time histogram

A. 1990๋…„ ์ดํ›„ CRA score ๊ฐ€ 65 cross ํ•œ ์‹ ํ˜ธ = 11๊ฑด (closed events 10๊ฑด). ๊ฐ ์‹ ํ˜ธ ์‹œ์ ๋ถ€ํ„ฐ forward 24๊ฐœ์›” ์•ˆ์˜ KOSPI peak ๊นŒ์ง€ lead time ๋ถ„ํฌ:

metricvalue
median6.5 mo
mean10.0 mo
p25 / p753.1 / 16.9 mo
95% CI0.7 โ€“ 23.4 mo
min / max0.7 / 23.5 mo

SO WHAT. ํ˜„์žฌ ์‹ ํ˜ธ๋Š” cross ํ›„ 3.5๊ฐœ์›” ๊ฒฝ๊ณผ โ€” median ๋„๋‹ฌ ์ „ โ€” ์ฆ‰ historical ํ‰๊ท ์ ์œผ๋กœ ์‹œ์žฅ ์ •์ ์€ 3.0๊ฐœ์›” ํ›„ ํ˜•์„ฑ. ํ–‰๋™ timing ์ ์ ˆ.

๊ณผ๊ฑฐ ๋™๊ธ‰ ์‹ ํ˜ธ์˜ outcome:

Cross datePeak dateLead12m max DD
2001-08-102002-04-188.2mo-28.1%
2005-10-142007-10-0223.5mo-17.8%
2007-06-112007-10-314.7mo-23.8%
2009-02-162011-01-1923.0mo-13.3%
2017-10-102018-01-293.6mo-14.2%
2020-01-282021-07-0617.2mo-35.0%
2023-03-132024-07-1115.9mo-14.6%

NOW WHAT. ์ด lead time ๋ถ„ํฌ๊ฐ€ ์˜๋ฏธํ•˜๋Š” ํ–‰๋™: ๋น ๋ฅธ retail ์€ ์ •์  -10๊ฐœ์›”์— ๋งค๋„ ์‹œ์ž‘ (์ด๋ฏธ -5-10% ์†์‹ค). CRA reader ๋Š” historical median 4-5๊ฐœ์›” lead ๋กœ ์ €๊ฐ€ ๋งค๋„ ์••๋ ฅ ์—†์ด portfolio ์กฐ์ • ๊ฐ€๋Šฅ. ๋‹จ trade-off: false positive (์‹œ์žฅ ์•ˆ ๋น ์ง€๋Š” ๊ฒฝ์šฐ) ์ˆ˜์šฉ. ์ผ์ฐ = ๊ฐ€๋” ํ‹€๋ฆฐ๋‹ค๋Š” ๋น„์šฉ์„ ๋ฐ›์•„๋“ค์ด๋Š” ๋Œ€์‹ , ๋งž์„ ๋•Œ ํฐ alpha.


ยง 3. 4-Layer Signal โ€” "71๋Š” ๋ฌด์Šจ ์˜๋ฏธ์ธ๊ฐ€"

Q. Score 71 ์€ ๋‹จ์ˆœ cyclical noise ์ธ๊ฐ€, ์˜๋ฏธ ์žˆ๋Š” regime shift ์ธ๊ฐ€?

A. 4์ค‘ layer ์˜ historical signal:

  1. Frequency: 1995๋…„ ์ดํ›„ ๊ฑฐ๋ž˜์ผ 11,449์ผ ์ค‘ score โ‰ฅ 71 = 14.1% (p86)
  2. Conditional base rate (12m forward): -10% 75.4% ยท -20% 34.9% ยท -30% 13.5%
  3. Closest analog: 1998-05-23 โ†’ forward 24m return 25.96%, max DD -19.34%
  4. Aggravating (analog ๋ณด๋‹ค ๋” ๋‚˜์œ ์ ): KOSPI_PBR (ฮ”+0.50), NFCI_LEVERAGE (ฮ”+0.17)

SO WHAT. ์ด 4 layer ๊ฐ€ ๋™์‹œ์— ํŠธ๋ฆฌ๊ฑฐ๋œ ๋นˆ๋„๋Š” historical 14% โ€” drowning in noise ๊ฐ€ ์•„๋‹Œ ์˜๋ฏธ ์žˆ๋Š” outlier zone. ๋‹จ์ผ ํ†ต๊ณ„๊ฐ€ ์•„๋‹Œ ๋นˆ๋„ โ†’ ์กฐ๊ฑด๋ถ€ ํ™•๋ฅ  โ†’ ์‹ค์ œ ์‚ฌ๋ก€ โ†’ ๋” ๋‚˜์œ ์ ์˜ 4-layer ๋…ผ์ฆ์ด conviction shifter.

NOW WHAT. ์ข…ํ•ฉ score ์— +20pp (์ด๋ฒˆ ๋‹ฌ cash ๊ถŒ๊ณ ์˜ driver). ๊ตฌ์ฒด ํ–‰๋™์€ ยง 8 Action Plan.


ยง 4. Cycle Clock โ€” ์‚ฌ์ดํด ์–ด๋””?

Q. ์šฐ๋ฆฌ๋Š” ์‚ฌ์ดํด์˜ ์–ด๋А phase ์— ์žˆ๋‚˜?

Cycle Pendulum

A. ํ˜„์žฌ phase: ๐Ÿ”ด EXIT (์ž์‚ฐ ๋ณด์ „ phase)

  • Score now: 71.4
  • Score 3๊ฐœ์›” ์ „: 68.1 (ฮ” +3.4)
  • Score 1๋…„ ์ „: 66.1 (ฮ” +5.4)

SO WHAT. score 71 โ‰ฅ 65 (exit threshold) โ†’ ์ž์‚ฐ ๋ณด์ „ phase. ๊ณผ๊ฑฐ ๋™๊ธ‰ ์‹ ํ˜ธ์˜ historical lead time ๋ถ„์„ ยง3 ์ฐธ์กฐ.

NOW WHAT. bear ์ง„์ž… ์˜ˆ๊ณ  โ€” cash ๋น„์ค‘ ๋Š˜๋ฆฌ๊ณ  valuation premium ์ •๋ฆฌ. ์ด phase ์—์„œ์˜ typical ํ–‰๋™์€ ยง 8 Action Plan ์ฐธ์กฐ.


ยง 5. Now vs Past Bears โ€” ์–ด๋А ์‚ฌ์ดํด๊ณผ ๊ฐ€์žฅ ๋น„์Šทํ•œ๊ฐ€?

Q. ํ˜„์žฌ ์‚ฌ์ดํด์ด 1999/2007/2018/2021 ์ค‘ ์–ด๋А ์‹œ์ ์˜ pre-peak ์™€ ๊ฐ€์žฅ ๊ฐ€๊นŒ์šด๊ฐ€?

Now vs Past Bears

A. ์œ„ ์ฐจํŠธ๋Š” ๊ฐ historical cycle ์˜ peak ๊นŒ์ง€ -24๊ฐœ์›” ๋™์•ˆ์˜ score trajectory ๋ฅผ overlay. ํ˜„์žฌ๋Š” NOW (2026-05) ์˜ score ์œ„์น˜.

SO WHAT. ์‹œ๊ฐ์ ์œผ๋กœ trajectory ์˜ ํ˜•์ƒ + level ์„ ๋น„๊ต. ๊ฒฉ์ฐจ๊ฐ€ ์ข์„์ˆ˜๋ก patterns ๋™์กฐ. ์ด visual analog ์ด ยง 6 ์˜ 14-D Euclidean closest analog ์™€ ๋…๋ฆฝ์ ์œผ๋กœ confirm.

NOW WHAT. ๊ฐ€์žฅ ๋™์กฐ๋œ cycle ์˜ forward outcome (-25 ~ -45% drawdown) ์„ ํ˜„์žฌ portfolio ์— stress test. ยง 8 ์˜ cash ๊ถŒ๊ณ ๋Š” ์ด stress test ๊ฒฐ๊ณผ ๋ฐ˜์˜.


ยง 6. Closest Historical Analog โ€” Deep Dive

Q. 1998-05-23 ์‹œ์ ์ด ์™œ ๊ฐ€์žฅ ๋‹ฎ์•˜๊ณ , ๊ทธ๋•Œ ๋ฌด์Šจ ์ผ์ด ์ผ์–ด๋‚ฌ๋‚˜?

Spider chart

A. 14-D risk panel space ์—์„œ ๊ฐ€์žฅ ๊ฐ€๊นŒ์šด historical ์‹œ์  = 1998-05-23 (Euclidean distance 0.645)

์ดํ›„ forward outcome:

  • 6m: return 8.49%, max DD -19.34%
  • 12m: return 17.13%, max DD -19.34%
  • 24m: return 25.96%, max DD -19.34%
  • 36m: return 16.81%, max DD -27.77%

Risk panel ๋น„๊ต (top 5 indicators by current risk):

IndicatorCurrentAnalogฮ”
USDKRW0.9990.999+0.000 โ€”
MARGIN_ADJ_CAPE0.9890.989+0.000 โ€”
CBOE_SKEW0.9230.923+0.000 โ€”
T10Y2Y0.6130.873-0.260 ๐ŸŸข
REAL_FED_FUNDS0.6760.811-0.135 ๐ŸŸข

SO WHAT. ์–‘ ์‹œ์ ์ด ๋™๊ธ‰ cluster ๋ผ๋Š” ์ ์€ 14 indicator ๊ฐ€ ๋™์ผ ๋ฐฉํ–ฅ. ๋‹จ ๋™์ผ outcome ๋ณด์žฅ X โ€” ํ†ตํ™”์ •์ฑ… / inflation regime / external shock ์ฐจ์ด.

NOW WHAT. Aggravating factors (ํ˜„์žฌ๊ฐ€ ๋” ๋‚˜์œ ์ ) ๊ฐ€ ์žˆ๋‹ค๋ฉด base rate ๋ณด๋‹ค conservative bias. 'all-out' ์ด ์•„๋‹Œ 'incremental' ํ–‰๋™.


ยง 7. Strategy Backtest โ€” Historical Proof

Q. CRA-driven cash allocation ์ด historical ๋กœ ์ž‘๋™ํ–ˆ๋‚˜?

NAV+DD

MarketperiodB&H DDCRA DDDD reductionSharpe
KOSPI36.4y-75.4%-57.9%+17.49pp0.285 โ†’ 0.336
S&P 50036.4y-56.8%-41.3%+15.53pp0.575 โ†’ 0.639

SO WHAT. 36๋…„ historical ์—์„œ CRA ์ „๋žต์ด KOSPI -75% drawdown ์„ -58% ๋กœ ์ค„์˜€๋‹ค. CAGR ์€ 1-2pp ์†ํ•ด ๋ณด์ง€๋งŒ risk-adjusted return (Sharpe) ์šฐ์›”.

NOW WHAT. ์ด historical evidence ๊ฐ€ ยง 8 ์˜ cash ๊ถŒ๊ณ ๋ฅผ backstop. ๋‹จ backtest = ๋ฏธ๋ž˜ ๋ณด์žฅ X.


ยง 8. Action Plan โ€” Specific to 53.64์–ต

Q. ์ด๋ฒˆ ๋‹ฌ ๋ฌด์—‡์„ ํ•ด์•ผ ํ•˜๋Š”๊ฐ€? (49์–ต portfolio ยท ๋ฉ”๋ชจ๋ฆฌ 73% ยท cash 0%)

A. Current state

  • ์ด์ž์‚ฐ: 53.64์–ต
  • ๋ฉ”๋ชจ๋ฆฌ (์‚ผ์„ฑ+ํ•˜์ด๋‹‰์Šค): 75.9% (40.71์–ต)
  • Top 5 ๋น„์ค‘: 85% / Top 10: 92%
  • ํ‰๊ฐ€์† ์ข…๋ชฉ: 12๊ฐœ (์ด 1901๋งŒ)
  • ํ‰๊ท  ํ‰๊ฐ€์ต๋ฅ : +67.2%

A. Target state (6๊ฐœ์›” ํ›„)

  • Cash 30% (16.09์–ต) + USD/GLD hedge 17% = 47% defensive
  • ๋ฉ”๋ชจ๋ฆฌ ๋น„์ค‘: 73% โ†’ 40% (HBM thesis ๋ณด์กด)

SO WHAT. CRA ๊ถŒ๊ณ  cash 45% ๋ฅผ ๊ทธ๋Œ€๋กœ ๋”ฐ๋ฅด๋Š” ๊ฒƒ์€ ์‚ฌ์šฉ์ž 0% cash history ๊ณ ๋ ค ์‹œ ํ–‰๋™ sustainability X. mid-ground (cash 30% + USD/GLD 17%) ๊ฐ€ ๋™๋“ฑ defensive ํšจ๊ณผ + ํ–‰๋™ ๊ฐ€๋Šฅ. Pre-commit rules ๋กœ timing risk ํšŒํ”ผ.

NOW WHAT โ€” Layer 1 / ์ฆ‰์‹œ (Day 0-7):

  • โœ… ์˜ค๋Š˜ ๋งค๋„: 0์›. ๋‹จ 6๊ฐœ์›” binding plan commit.
  • ํ‰๊ฐ€์† 12๊ฐœ ์ข…๋ชฉ list-up + 5/13 ๊นŒ์ง€ ์ „๋Ÿ‰ ๋งค๋„ (์–‘๋„์„ธ ์†์ตํ†ต์‚ฐ)
  • Pre-commitment rules 7๊ฐœ vault commit (ยง9 ์ฐธ์กฐ)

NOW WHAT โ€” Layer 2 / ๋‹จ๊ธฐ (1๊ฐœ์›”):

  • Cash 0% โ†’ 5% (small cap + ํ‰๊ฐ€์† ์ •๋ฆฌ, ์•ฝ 2.68์–ต)
  • ๋ฉ”๋ชจ๋ฆฌ thesis ์žฌ๊ฒ€์ฆ ๋ฉ”๋ชจ: HBM (A-grade) vs ์‚ผ์„ฑ ๋น„๋ฉ”๋ชจ๋ฆฌ (B-grade)

NOW WHAT โ€” Layer 3 / ์ค‘๊ธฐ (3-6๊ฐœ์›”) DCA out:

MonthCash%๋ฉ”๋ชจ๋ฆฌ%ํ–‰๋™ cue
Month 00%73%rules commit
Month 15%70%small cap + ํ‰๊ฐ€์† ์ •๋ฆฌ
Month 210%65%์‚ผ์„ฑ 25โ†’20% (4.04์–ต ๋งค๋„)
Month 315%55%ํ•˜์ด๋‹‰์Šค 1์ฐจ ์ต์ ˆ (3.07์–ต ๋งค๋„)
Month 420%50%USD ์ž์‚ฐ ๋งค์ˆ˜ ์‹œ์ž‘ (S&P + TLT)
Month 525%45%GLD 5% ์ถ”๊ฐ€ (KRX ๊ธˆํ˜„๋ฌผ)
Month 630%40%Final position

Hedge mix (final):

  • Cash 30% โ€” MMF/RP yield ~3.2%
  • USD ์ž์‚ฐ 12% โ€” S&P defensive (XLP/XLU) + TLT
  • GLD 5% โ€” KRX ๊ธˆํ˜„๋ฌผ
  • ๋ฉ”๋ชจ๋ฆฌ 40% (HBM thesis ์œ ์ง€)
  • ๋น„๋ฉ”๋ชจ๋ฆฌ KR 13%

ยง 9. Pre-commitment Rules + Re-entry Triggers

Q. ์‹œ์žฅ ๋ณ€๋™ ๋ฐœ์ƒ ์‹œ ์–ด๋–ป๊ฒŒ ๋Œ€์‘ํ•  ๊ฒƒ์ธ๊ฐ€? (๊ฐ์ • X, rule ๋งŒ)

A. Pre-commit rules (vault ์— binding ์œผ๋กœ commit):

#IfThen
1CRA score โ‰ฅ 755%pt ์ฆ‰์‹œ ๋งค๋„ (5 trading days ๋‚ด)
2KOSPI +10% from now๋งค๋„ ์†๋„ 2๋ฐฐ (์›” 10%pt)
3ํ•˜์ด๋‹‰์Šค ํ‰๊ฐ€์ต +30% ์ถ”๊ฐ€5% ์ž๋™ ์ต์ ˆ
4CRA score < 50๋งค์›” 5%pt re-investment ์‹œ์ž‘
5KOSPI PBR < 1.0cash 50% ์ฆ‰์‹œ deploy
6๋งค์›” ๋งˆ์ง€๋ง‰ ์˜์—…์ผrebalancing day
7์ผ์ผ portfolio ์กฐํšŒmax 1ํšŒ (overtrading ๋ฐฉ์ง€)

Re-entry Triggers (cash ๋Š˜๋ฆฐ ํ›„ ๋‹ค์‹œ invest):

TriggerLead timeAction
CRA score < 603-6m๋งค์›” 5%pt re-investment
KOSPI PBR < 1.0bottom signalcash 50% ์ฆ‰์‹œ deploy
์™ธ์ธ +0.5% ๋ˆ„์ 1-2m์ถ”๊ฐ€ 20% deploy
Fed rate cut 50bp+variedconfirmation only

SO WHAT. Rule-based ํ–‰๋™์€ ๊ฐ์ • (FOMO / loss aversion / regret) ํšŒํ”ผ. Pre-commit ์‹œ์ ์— cool-headed reasoning ์œผ๋กœ ๊ฒฐ์ •.

NOW WHAT. ์œ„ 7 rules + 4 re-entry triggers ๋ฅผ vault rules/cra_rules.md ์— commit + behavioral_coach ์‹œ์Šคํ…œ์— ingest. ๋งค์›” review.


ยง 10. Counter-Narrative โ€” "์ด๋ฒˆ์ด ํ‹€๋ฆด ์ˆ˜ ์žˆ๋Š” ์‹œ๋‚˜๋ฆฌ์˜ค"

Howard Marks ์‹ ambivalence โ€” ์ผ๋ฐฉ์  bear ๋ฉ”๋ชจ๋Š” ์‹ ๋ขฐ ์žƒ์Œ.

์ด๋ฒˆ์ด false positive ์ผ ๊ฐ€๋Šฅ์„ฑ (์ž๋™ generation ์‹คํŒจ ์‹œ fallback):

  1. AI capex ๊ฐ€ ์ง„์งœ productivity multiplier โ€” 1995-1999 ์‚ฌ์ดํด์ฒ˜๋Ÿผ valuation ์ •๋‹นํ™”
  2. ํ†ตํ™”์ •์ฑ… pivot ์ง์ „ โ€” Fed rate cut ์‹œ risk asset rally extend
  3. ํ•œ๊ตญ ์™ธ์ธ sell exhausted โ€” KOSPI catch-up
  4. ๋ฉ”๋ชจ๋ฆฌ super-cycle ์ง„์งœ ์‹œ์ž‘ โ€” HBM ์˜ secular shift
  5. ์‹œ์Šคํ…œ์ด lagging โ€” ์‹œ์žฅ์ด ์ด๋ฏธ ์ตœ์•…์„ ๊ฐ€๊ฒฉ์— ๋ฐ˜์˜

์ง€๊ธˆ ํŒ๋‹จ: ๋ชจ๋‘ ๊ฐ€๋Šฅ. ๊ทธ๋Ÿฌ๋‚˜ 4-layer signal ์˜ ๊ฐ•๋„๋Š” caution ๊ถŒ๊ณ .


ยง 11. Korea-Specific Lens

Q. ํ•œ๊ตญ ์‹œ์žฅ์˜ unique risk ๋Š” ๋ฌด์—‡์ธ๊ฐ€?

A. ํ•œ๊ตญ 5๋Œ€ ์ •์  + ํ˜„์žฌ ๋น„๊ต:

YearKOSPI peakCRA at peak12m DDDriving narrative
1989101566.8-55%1989 valuation peak
1999105975.2-56%1999 IT bubble
2007206572.3-55%2007 GFC pre-peak
2018260755.7-24%2018 ๋ฐ˜๋„์ฒด + ๋ฌด์—ญ์ „์Ÿ
2021330564.1-35%2021 ๊ธด์ถ• ์ง์ „
ํ˜„์žฌโ€”71โ€”ํ˜„์žฌ (2026-05)

3๊ฐœ unique Korea signals:

  1. KOSPI ์‹œ์žฅ PBR: 2.12x โ€” ์‚ฌ์ƒ ์ตœ๊ณ 
  2. ์™ธ๊ตญ์ธ 12M ๋ˆ„์  / ์‹œ์ด: -0.73% โ€” Warning zone
  3. USD/KRW: 1,456 โ€” Critical zone

SO WHAT. ํ•œ๊ตญ reflexivity 3๊ฐ ๊ตฌ์กฐ (KOSPI โ†˜ โ†’ ์™ธ์ธ ๋งค๋„ โ†’ KRW ์•ฝ์„ธ โ†’ ์™ธ์ธ ์ถ”๊ฐ€ ๋งค๋„) ๋Š” ๋ฏธ๊ตญ ๋ฉ”๋ชจ์— ์—†๋Š” Korea-only risk.

NOW WHAT. ๋ฉ”๋ชจ๋ฆฌ (์ˆ˜์ถœ์ฃผ) hedge effect ๋กœ ํ•œ๊ตญ risk ์ผ๋ถ€ absorb. ๋‹จ KRW 1500 ๋ŒํŒŒ ์‹œ retail capital flight risk โ†’ cash ๋น„์ค‘ ์ถ”๊ฐ€ ๊ถŒ๊ณ .


ยง 12. Bottom Line

๊ฐ•์„ธ์˜ ๋์ž๋ฝ์—์„œ ๊ฐ€์žฅ ์œ„ํ—˜ํ•œ ๊ฒƒ์€ ์œ„ํ—˜์„ ๋ณด์ง€ ๋ชปํ•˜๋Š” ๊ฒƒ์ด ์•„๋‹ˆ๋ผ, ๋ณด๋ฉด์„œ๋„ ๊ทธ๊ฒƒ์ด ์ •์ƒ์ด๋ผ๊ณ  ๋ฏฟ๋Š” ์ˆœ๊ฐ„์ด๋‹ค. ํ‰๊ฐ€์™€ ์œ ๋™์„ฑ์ด ๋™์‹œ์— ๊ฒฝ๊ณ ํ•  ๋•Œ, ์ˆ˜์ต๋ฅ ์„ ์žฌํ™•์ธํ•˜๊ธฐ๋ณด๋‹ค ํฌ์ง€์…˜์˜ ํฌ๊ธฐ๋ฅผ ์žฌ๊ฒ€ํ† ํ•˜๋Š” ๊ฒƒ์ด ์ „๋žต์ด๋‹ค.


์ด๋ฒˆ ๋‹ฌ in one sentence: ใ€Œ๊ฐ•์„ธ์˜ ๋์ž๋ฝใ€ โ€” 30์ดˆ ๋…์ž๊ฐ€ ๊ฐ€์ ธ๊ฐˆ ํ•œ ๋งˆ๋””.

๋ณธ ๋ฆฌํฌํŠธ๋Š” ์ž๋™ generated. spec v1.0.6. ๋‹ค์Œ ๋ฐœํ–‰: ๋งค์›” ์ฒซ ์ผ์š”์ผ 18:00 KST.

๋ถ€๋ก. 14 Indicator Detail (๋งค์›” ๋™์ผ format)

Codeํ•œ๊ตญ์–ดํ˜„์žฌ๊ฐ’RiskEWContributionTier12m sparkline
MARGIN_ADJ_CAPE็พŽ Margin-adjusted CAPE (Hussman)61.29x0.9990.10009.99๐Ÿ”ด severeโ–‚โ–‚โ–‡โ–‡โ–‡โ–‡โ–‡โ–โ–‚โ–ˆ
T10Y2Y็พŽ 10Y-2Y ๊ตญ์ฑ„๊ธˆ๋ฆฌ ์Šคํ”„๋ ˆ๋“œ0.50%pn/a0.1000n/a๐ŸŸข normalโ–ƒโ–…โ–†โ–„โ–โ–โ–‚โ–‡โ–‡โ–ˆ
HY_OAS็พŽ ์‹ ์šฉ ์Šคํ”„๋ ˆ๋“œ (Baa - 10Y Treasury)1.69%pn/a0.1000n/a๐ŸŸข normalโ–†โ–โ–โ–†โ–…โ–โ–„โ–ˆโ–„โ–ƒ
MARGIN_DEBT_YOY็พŽ NYSE ์‹ ์šฉ์ž”๊ณ  YoY ์ฆ๊ฐ€์œจ38.69%n/a0.0500n/a๐ŸŸ  moderateโ–โ–„โ–ˆโ–ˆโ–‚โ–‚โ–โ–โ–‚โ–‚
CBOE_SKEW็พŽ CBOE SKEW Index (๊ผฌ๋ฆฌ์œ„ํ—˜ ํ—ค์ง€์ˆ˜์š”)138.74n/a0.0500n/a๐ŸŸก mildโ–†โ–„โ–‚โ–†โ–ˆโ–‡โ–‚โ–„โ–†โ–
KOSPI_PBRKOSPI ์‹œ์žฅ PBR (cap-weighted)2.12xn/a0.1000n/a๐Ÿ”ด severeโ–…โ–†โ–‡โ–‡โ–‡โ–‡โ–‡โ–ˆโ–‡โ–
KR_MARGIN_BAL_PCTKOSPI 30์ผ ํ‰๊ท  ํšŒ์ „์œจ (๊ฑฐ๋ž˜๋Œ€๊ธˆ/์‹œ์ด)0.59%n/a0.1000n/a๐ŸŸก mildโ–โ–โ–ƒโ–…โ–โ–„โ–‡โ–ˆโ–…โ–…
KR_FOREIGN_12M_PCTKOSPI ์™ธ๊ตญ์ธ 12M ๋ˆ„์  ์ˆœ๋งค์ˆ˜ / ์‹œ์ด (%)-0.73%n/a0.1000n/a๐ŸŸก mildโ–ˆโ–ƒโ–‚โ–ƒโ–‚โ–โ–‚โ–„โ–†โ–„
USDKRW์›/๋‹ฌ๋Ÿฌ ํ™˜์œจ1462.80KRWn/a0.0500n/a๐ŸŸ  moderateโ–โ–‚โ–„โ–‡โ–‡โ–‡โ–„โ–ˆโ–‡โ–„
KR_BBB_AAA_SPREAD้Ÿ“ ํšŒ์‚ฌ์ฑ„ ์‹ ์šฉ ์Šคํ”„๋ ˆ๋“œ (AA- โˆ’ ๊ตญ๊ณ ์ฑ„ 3y)0.65%pn/a0.0500n/a๐ŸŸข normalโ–ƒโ–โ–โ–โ–„โ–ƒโ–…โ–†โ–ˆโ–‡
NFCI_LEVERAGEChicago Fed NFCI Nonfin Leverage Subindex-0.41ฯƒn/a0.0500n/a๐ŸŸข normalโ–โ–‚โ–ƒโ–„โ–…โ–†โ–†โ–‡โ–‡โ–ˆ
REAL_FED_FUNDS็พŽ ์‹ค์งˆ ์ •์ฑ…๊ธˆ๋ฆฌ (Fed Funds - Core PCE YoY)0.44%n/a0.0500n/a๐ŸŸข normalโ–ˆโ–‡โ–‡โ–‡โ–…โ–ƒโ–‚โ–‚โ–โ–
VIXVIX (S&P 500 ์˜ต์…˜ ๋ณ€๋™์„ฑ)18.29n/a0.0500n/a๐ŸŸข normalโ–ƒโ–‚โ–‚โ–†โ–โ–…โ–†โ–ˆโ–…โ–„
MOVEMOVE Index (US Treasury ๋ณ€๋™์„ฑ)76.78n/a0.0500n/a๐ŸŸข normalโ–ˆโ–„โ–‚โ–ƒโ–โ–‚โ–‚โ–…โ–ƒโ–„