Channel
@yieldnspread
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Polls · Citations · Telegram's recommendations · Cite this entry
22,018subscribers
+451 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001589472530 |
|---|---|
| Type | Channel |
| Username | @yieldnspread |
| Description | 채권 애널리스트 김성수 & 크레딧 애널리스트 한시화 |
| Created | 25 July 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/yieldnspread |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 88% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 16:17 | 22,018 | -12 |
| 17 Sept 2026, 11:19 | 22,030 | +30 |
| 15 Sept 2026, 10:01 | 22,000 | -2 |
| 13 Sept 2026, 17:01 | 22,002 | +1 |
| 12 Sept 2026, 00:57 | 22,001 | -2 |
| 9 Sept 2026, 12:56 | 22,003 | +3 |
| 6 Sept 2026, 04:41 | 22,000 | +4 |
| 4 Sept 2026, 01:02 | 21,996 | +11 |
| 2 Sept 2026, 15:27 | 21,985 | +9 |
| 1 Sept 2026, 11:26 | 21,976 | +3 |
| 31 Aug 2026, 13:53 | 21,973 | +30 |
| 30 Aug 2026, 11:25 | 21,943 | +4 |
| 29 Aug 2026, 10:28 | 21,939 | +15 |
| 28 Aug 2026, 08:45 | 21,924 | +3 |
| 27 Aug 2026, 10:42 | 21,921 | +29 |
| 26 Aug 2026, 07:04 | 21,892 | -5 |
| 25 Aug 2026, 06:22 | 21,897 | -1 |
| 24 Aug 2026, 05:54 | 21,898 | +12 |
| 22 Aug 2026, 11:32 | 21,886 | +17 |
| 20 Aug 2026, 23:24 | 21,869 | first reading |
131 posts held, back to 31 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 59 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 25 September 2026 |
|---|---|
| Posts held | 131 (31 July 2026 – 25 September 2026) |
| Views total | 221,600 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 03:27 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 27 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
John Williams 뉴욕 연은 총재 (중립, 당연직) • 지속적인 공급 충격은 무시할 수 없으며(can't ignore persistent supply shocks), 연준은 충격이 고착되지 않도록 해야 함(don't become entrenched) • 관세는 일반적으로 지속적인 인플레이션을 만들지 않음 • 노동시장은 물가 압력의 원천이 아님 • 아직 AI의 생산성 효과는 보이지 않음 Andrew Bailey 영란은행 총재 • 기준금리를 인상하지 않았지만, 높은 에너지 가격이 오래갈수록 이 기조를 유지하기가 더 어려워질 것(going to get harder to maintain that stance) • 높은 에너지 가격이 기대인플레이션에 전이되는지 증거를 모두 확인할 때까지 기다릴 여유는 없음. 지금까지 전이는 상당히…
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Photo, posted without a caption
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Beth Hammack 클리블랜드 연은 총재 (강경파, 투표권 있음) • 물가 전망은 불확실성이 매우 크며 위험은 상방으로 기울어 있음(risks tilted to the upside) • 높은 물가가 오래 지속될수록 물가를 되돌리는 일이 더 어렵고 비용이 증가(more challenging and costly) • 미국은 생산이 견조한 속도로 늘고 노동시장은 본인이 정의하는 최대고용에 가깝지만 물가는 여전히 높은 수준 • 공급 충격이 현재 통화정책에 상당한 과제이며, 물가안정은 중앙은행의 책임 Anna Paulson 필라델피아 연은 총재 (강경파, 투표권 있음) • 9월 FOMC에서 25bp 기준금리 인상을 지지. 이번 인상으로 정책이 물가 위험과 노동시장 위험을 적절히 균형 잡는 속도로 물가를 2%로 되돌리는 데 필요한 수준에…
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John Williams 뉴욕 연은 총재 (중립, 당연직) • 연말까지 한 차례 더 기준금리 인상이 적절할 가능성이 크다고 보는 것이 합리적(another rate hike may be appropriate by the end of the year). 다만 지켜봐야 하며, 7~9월에 그랬듯 데이터를 모아 판단할 것 • 명시적이고 직접적인 포워드 가이던스의 시대는 종료(explicit, very direct forward guidance is over) • 가장 큰 과제는 물가이며, 물가를 적시에 목표로 되돌려야 함(in a timely manner) • 최대고용 달성의 하방위험은 감소(have receded) • 미국 경제는 놀라운 회복력을 보였고 수요는 모든 부문에서 상당히 견조. AI 수요가 상당히 강하며, AI 붐은 전통적인 수…
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Bessent 미 재무장관, "미중 무역휴전 2027년 1월 10일까지 연장 합의"
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Michael Barr 연준 이사 (강경파, 당연직) • 9월 FOMC에서 기준금리 인상에 투표. 경제 변화를 감안하면 정책이 제자리에 있지 않았고(we were out of position) 올바른 방향으로 조정한 것. 기본 시나리오에서는 물가가 제때 목표로 내려오도록 추가 정책 조정이 필요할 가능성이 큼(further policy adjustments are likely to be needed) • 성장은 강하고 노동시장은 견조하지만 물가는 2% 목표를 웃돌며 제때 목표를 향해 분명하게 내려가고 있지 않음. 물가 목표 달성 위험은 커지고 노동시장 위험은 줄어 두 책무 사이 위험의 균형을 반영해 정책을 재조정할(recalibrate) 필요가 있었음 • 관세, 중동 분쟁과 러시아의 우크라이나 전쟁에 따른 교란, 최근 AI 구축을 위한 투…
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연초 이후 발언들을 통해 분류한 연준 구성원별 성향 및 추이
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월별 연준 성향 변화 추이
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[Strategy Note] 수급 변화에 따른 금리의 영향 ▶ 쌀수록 더 사는 가계와 헤지펀드 ▶ 금리에 민감한 이들이 공급 증가 국면에서는 변동성을 낮춘다 ▶ 시나리오별 금리 상승 압력 미 국채시장은 가격에 민감한 헤지펀드·가계의 보유비중이 크게 늘어나면서 공급 증가 관련 금리 상승 민감도가 감소. 이표채 1,000억달러 추가 공급에 따른 5년 금리 상승 압력이 2000년대 초 65bp에서 3bp로 약화. 매도주체가 누구냐에 따라 금리 등락폭도 크게 상이. 같은 5,000억달러 매도물량이 출회되어도 해외 중앙은행 매도 시 약 14bp, 헤지펀드가 매도하면 55bp 상승하고, 연준의 자산 축소와 재무부 순발행이 겹치면 2년간 누적 112bp의 상승 압력이 발생 명절 잘 보내세요~~
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Roberto Perli SOMA 책임자 • 준비금 관리 매입(RMP) 규모는 준비금 수요 평가, 준비금 공급 전망, 현재·예상 단기자금시장 여건을 똑같이 중요하게 고려해 결정. 세 요인 모두에 근거해 최근 두 차례 매입 기간에 RMP를 중단했고, 8월 중순 이후 매입 규모는 0달러 • 준비금 수요는 거의 변하지 않았으나, 재무부가 제시한 12월 말 재무부 일반계정(TGA) 잔고가 기존 가정보다 낮아 준비금 공급 전망을 상향 조정. 4월 납세시즌 같은 큰 변동 가능성도 낮아 전망 기간 후반에 준비금이 적정 수준 아래로 떨어질 위험은 제한적 • 실효 연방기금금리와 국채 레포금리가 준비금 이자율(IORB) 부근에서 거래되는 등 단기자금시장 신호도 준비금이 적정하고 당분간 그럴 것임을 확인. 익일물 금리가 평균적으로 IORB를 소폭 밑돌아 준…
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John Williams 뉴욕 연은 총재 (중립, 당연직) • 시장 구조가 진화하면 통화정책 수단도 함께 진화해야 하며, 어떤 상황에서도 제대로 작동하도록 설계돼 있어야 함 • 2019년 도입한 풍부한 지준(ample reserves) 체계는 지준을 적극 관리하는 대신 관리금리에 의존하며 익일물 역레포(ON RRP)와 상설 레포(SRP)가 뒷받침. 충분한 지준과 두 수단의 결합이 강력한 금리 통제력과 대차대조표 규모 조절의 유연성을 주며 실제로 효과적이었음 • 통화정책 운영의 세 원칙은 금리 통제, 중앙은행 지준 보유에 기회비용이 거의 없을 것, 탄력성. 탄력성은 규제·시장구조 등으로 지준 수요가 변하면 연준이 공급을 그에 맞춰 조정한다는 뜻 • 레포시장이 삼자(tri-party) 구조로 옮겨가자 뉴욕 연은 데스크도 거래가 이뤄지는 시…
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Michele Bullock RBA 총재 • 중동 분쟁이 예상보다 훨씬 오래 이어지고 국내에는 여전히 초과수요가 있어, 물가 상방위험이 현실화되고 있는지 자문하고 있음(have some of those things materialised?) • 공급 충격은 통화정책으로 대응하기 어렵지만 정책은 물가의 2차 효과에 대응해야 함(Policy needs to deal with second-round effects on inflation). 가계·기업의 기대인플레이션이 고착되면 스스로 강화될 가능성 • AI 붐이 호주 경제의 초과수요를 키우는 중 • 실업률이 4.5~5.0% 범위에 있으면 물가 압력을 억제하는 데 도움이 될 것. AI는 일자리를 대체할 수 있지만 새 일자리도 만들 수 있음 • 전 세계적으로 중립금리가 오르며 실질 국채금리를 …
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Showing the 12 most recent of 131 posts we hold for @yieldnspread. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
대차대조표 업데이트
The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
오늘 금통위
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 131 most recent posts we hold, published 31 July 2026 to 25 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 21 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 34 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 26 September 2026 — this entry's latest reading, not the date you are reading this.
“YIELD & SPREAD” (@yieldnspread), 22,018 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/yieldnspread.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.