Skip to main content
Free trial

Ask AI to review this stock

Copy the prompt to get recent events, historical reactions, and a short research brief.

Tell your AI:

Help me set up FinLab and analyze 2887 台新新光金. Please read: https://finlab.finance/en/setup?stock=2887

2887

台新新光金 Finance & Insurance As of 2026-06-17 Updated daily after market close

strong quality, fair valuation.

This page refreshes daily after the close. Add 台新新光金 to your watchlist to track signal changes on your next visit.
Valuation 67Quality 87Growth 98Momentum 83Chips 11

Is 台新新光金 a buy? Fundamentals and valuation first

  • Top-tier profitability.Operating margin beats ~97% of the market. Latest quarterly ROE ≈ 3.9%.

  • Valuation is neutral.PE is in the 30th market percentile; within its own history, PE is around the 85th percentile.

  • Foreign investors are net selling.Foreign 20-day net flow ≈ -5.0% of volume (net sell).

  • Strong revenue growth.Latest monthly revenue YoY ≈ 317.2%, above the 20% growth threshold.

  • Signals are active now.On the latest data, signals such as 252-day price high, Revenue YoY ≥ 20% are active — see the historical forward returns after each occurrence below.

Chip flow

Bullish +0.77
BearishNeutralBullish

Single-sided accumulation, concentration rising — bullish

  • Single-sided accumulation, concentration rising — bullish
  • 摩根大通 holds 196,093 lots
  • sellers have 113,855 lots left, ~472 sessions to clear

Window from 2026-01-17 · Price +43% · branches to 2026-06-17· TDCC to 2026-06-12

  • Largest holder 摩根大通 has accumulated 196,093 lots since the start (sold 8%), still adding.
  • Main distributor 群益金鼎 peaked at 149,686 lots, has sold 46%, 81,469 left, paused recently.
  • TDCC big holders (absolute) >1000-lot holders +1.63pp, mid holders -22, retail -1.54pp — concentration shifting upward.
  • Foreign hedge-desk net short Net short -185,512 lots (inferred from branch profile, mostly hedging — not necessarily bearish, not case-confirmed).
Branch inventory reconstruction
Accumulating holders Branches that accumulated shares during the window and still hold positive inventory; they are the absorbing side.
Distributing sellers Branches that built inventory earlier and have been selling it down; the remaining number estimates what has not cleared.
Net-short desks Trading-desk branches with negative inventory or net selling, often hedge, offsetting, or short-term flow. It is not automatically a bearish view.
Accumulating
摩根大通兆豐證券花旗環球玉山證券元富-城東港商麥格理
Distributing
群益金鼎美林富邦證券新加坡商瑞銀永豐金-匯立華南永昌-嘉義
Desks
own scale
台灣摩根士丹利美商高盛凱基-台北新光-桃園
Price Accumulating & Distributing share one scale (comparable); Desks is independent. Zero is the baseline
Branch details Unit: lots

Accumulating

  • 摩根大通 +196,093
    sold 8%· still adding
  • 兆豐證券 +126,467
    sold 0%· still adding
  • 花旗環球 +107,047
    sold 0%· still adding
  • 玉山證券 +106,830
    sold 0%
  • 元富-城東 +89,262
    sold 0%
  • 港商麥格理 +62,234
    sold 0%· still adding

Distributing

  • 群益金鼎 81,469 left
    sold 46%· paused recently
  • 美林 92,142 left
    sold 31%· ~35 sessions to clear
  • 富邦證券 70,422 left
    sold 26%· paused recently
  • 新加坡商瑞銀 53,302 left
    sold 41%· paused recently
  • 永豐金-匯立 14,296 left
    sold 29%· paused recently
  • 華南永昌-嘉義 9,061 left
    sold 27%· ~27 sessions to clear

Desks

  • 台灣摩根士丹利 -206,580
    hedge desk · will cover
  • 美商高盛 -87,910
    hedge desk · will cover
  • 凱基-台北 -77,559
    day-trade · selling pressure
  • 新光-桃園 -63,449
    unclassified
Still selling 113,855 lots ~472 sessions to bottom at most
Recent buy/sell force +241,826 absorbed / -37,291 sold buyers slightly ahead
Hedge-desk net short -99,250 lots potential cover-buying, not selling pressure
TDCC big holders · absolute-holding cross-check
>1000-lot holder share Retail (<400 lots) share Price (right axis)

Direction matches: big-holder share rose while retail share fell.

Describes chip flow, not investment advice. Branch data discloses only high-volume branches with ~1-day lag; TDCC is weekly. Inventory is a relative reconstruction from the window start, not absolute holdings.

Historical evidence

Signals active now

These signals are true on the latest data, with this stock's own historical forward-return stats after each occurrence.

252-day price high (breakout)

Active

Adjusted close makes a new 252-day high; repeats within 20 days counted once.

44 historical occurrences (since 2009-07-03)
Average forward return after 252-day price high (breakout)。20-day: Win 65.1%, Sample 43, Median +1.1%, Excess +0.33%, Beat mkt rate 51.2%;60-day: Win 74.4%, Sample 43, Median +4.13%, Excess +1.6%, Beat mkt rate 60.5%;120-day: Win 58.5%, Sample 41, Median +4.02%, Excess +2.04%, Beat mkt rate 53.7%

120 days after: historical avg +5.36%

20-day +1.91%
60-day +4.27%
120-day +5.36%
20-day
60-day
120-day
Win
65.1%
74.4%
58.5%
Sample
43
43
41
Median
+1.1%
+4.13%
+4.02%
Excess
+0.33%
+1.6%
+2.04%
Beat mkt rate
51.2%
60.5%
53.7%

Over 41 occurrences, 120-day forward avg gained 5.36%, beat the market by 2.04 pts; win rate 58.5%.

Monthly revenue YoY ≥ 20% (from filing deadline)

Active · now 317.18%

Monthly revenue YoY ≥ 20%; event date is the first trading day after the filing deadline (no look-ahead).

83 historical occurrences (since 2007-04-23)
Average forward return after Monthly revenue YoY ≥ 20% (from filing deadline)。20-day: Win 52.6%, Sample 78, Median +0.49%, Excess +0.27%, Beat mkt rate 47.4%;60-day: Win 55.1%, Sample 78, Median +2.43%, Excess +1.14%, Beat mkt rate 46.2%;120-day: Win 56%, Sample 75, Median +4.11%, Excess +2.95%, Beat mkt rate 54.7%

120 days after: historical avg +10.19%

20-day +1.4%
60-day +5.5%
120-day +10.19%
20-day
60-day
120-day
Win
52.6%
55.1%
56%
Sample
78
78
75
Median
+0.49%
+2.43%
+4.11%
Excess
+0.27%
+1.14%
+2.95%
Beat mkt rate
47.4%
46.2%
54.7%

Over 75 occurrences, 120-day forward avg gained 10.19%, beat the market by 2.95 pts; win rate 56%.

Valuation regime and subsequent returns

Each day's PE is converted to its own-history percentile (as of that day), then we look at adjusted-close returns over the next 240 trading days by valuation regime.

PE percentile bandSample days240-day avg returnMedianWin rateAvg excess (vs index)
0-20 0Insufficient data
20-40 3Insufficient data
40-60 284+26.7% +24.6% 75.4% +1.9%
60-80 1099+12.9% +8.5% 70.9% -5.1%
80-100 You are here1611+10% +10.5% 72.9% -4%

Percentiles use an expanding own-history window (no look-ahead); forward return is 240 trading days on adjusted close. Sample days overlap; distribution is indicative only.

Current PE ≈ 15.98, at the 85.4th percentile of its own history (80-100 band).

Valuation × momentum historical grid

Every day in its own history is bucketed by valuation tercile (own-history PE) and 60-day momentum sign into six cells; we show adjusted-close returns over the next 120 trading days per cell.

Valuation
Momentum
Cheap (own-history bottom 1/3)
Mid
Expensive (own-history top 1/3)
60-day momentum up
Insufficient data
(0d)
+16%
Win rate 78.9% Excess +4.8%
308d
Now
+5.3%
Win rate 65.7% Excess -2.1%
1798d
60-day momentum down
Insufficient data
(1d)
+12%
Win rate 77.5% Excess -3.3%
280d
+6.1%
Win rate 66.1% Excess -1.3%
729d

Currently in “Expensive (own-history top 1/3) × 60-day momentum up”: across 1798 historical days, 120-day forward avg gained 5.3%, win rate 65.7%, lagged the market by 2.1%.

Days = trading days in this bucket; returns use adjusted prices, ex-costs. 60-day momentum: direction of this stock's price over the past 60 trading days.

Does this signal hold up across the market

Over the past 242 months, on average ~404 stocks per month met “monthly revenue YoY ≥ 20%”; their adjusted-close return over the next 60 trading days averaged 6.94% (equal-weighted), beating the market by 2.37 points on average, and outperformed the TAIEX total-return index in 64.5% of months.

Each month, equal-weighted 60-day forward adjusted return of all signal-matching stocks, then averaged across months; excess vs the TAIEX total-return index.

Signals not active (historical stats for reference)

These are not occurring now; historical samples shown for comparison.

Foreign net buying for 5 straight days

Pending

Foreign net flow (ex-dealer) positive for 5 straight days; event on day 5; repeats within 20 days counted once.

70 times historically; 60-day forward avg +3.94%, win rate 68.1%, beating the market by -0.63 pts on average.

What does 台新新光金 do? Company profile

金控業 上市(台灣證券交易所)

Overview

2887 為台灣證券交易所上市普通股,證券名稱為台新新光金。公司前身台新金融控股股份有限公司成立與上市日期均為 2002/02/18;台新金控與新光金控於 2025/07/24 合併,台新金控為存續公司並更名為台新新光金融控股股份有限公司,新光金控為消滅公司。總部位於台北市大安區仁愛路四段118號。董事長為吳東亮,總經理為林維俊。公開資訊彙整顯示實收資本額約新台幣 2,935.75 億元、已發行普通股約 248.66 億股,另有特別股;合併後總資產於 2025 年底約新台幣 8.776 兆元,2026 年第一季約新台幣 9.065 兆元,為台灣大型金控之一。2024 年台新金控及轄下子公司全體正職員工為 11,634 人、含非正職及派遣合計 12,462 人;合併新光金後員工規模已顯著擴大,2026 年旺年會與徵才新聞顯示集團人員規模逾萬人且仍大規模招募,但截至本研究日未在可查官方頁面確認合併後精確全體員工數。主要股東部分,公開搜尋可確認董監持股比例約 2.23%,大股東資訊含新光三越百貨等,但合併後完整前十大股東仍應以 2025 年報或公開資訊觀測站最新股東名冊為準。

Business

台新新光金控為金融控股公司,核心商業模式是透過銀行、壽險、證券、投信、投顧、創投、資產管理、租賃等子公司提供金融服務,收入來源包括銀行淨利息收入、財富管理與信用卡等手續費、壽險保費與投資收益、證券經紀/承銷/自營收益、資產管理與投信投顧費用。合併後金融版圖橫跨銀行、保險、證券三大業務,並於兩年內推進主要子公司整併:台新投信與新光投信已於 2025/11/24 合併,台新人壽與新光人壽於 2026/01/01 合併,台新證券與元富證券於 2026/04/06 合併,台新銀行與新光銀行規劃於 2026 年底前完成合併。2025 年金控稅後淨利 374 億元,較 2024 年成長 86%,EPS 1.91 元;台新銀行稅後淨利 214 億元、年增 15.6%,淨利息收入 339 億元、淨手續費收入 171 億元,年底總放款 1.83 兆元、總存款 2.49 兆元;壽險子公司合計獲利 77 億元,新光人壽新契約 CSM 年增 69%;證券方面台新證券全年稅後淨利 24 億元,合併元富後經紀業務市占率為市場第四大。2026 年第一季金控稅後淨利 211 億元、EPS 0.82 元;台新銀行總放款約 1.989 兆元,產品組合約企業貸款 47.9%、購屋貸款 21.2%、房屋加值型貸款 17.9%、消金無擔 6.9%、其他 6.1%;法金授信產業分布中製造業 28.1%、不動產與營造 19.8%、零售批發 9.0%、運輸與通訊 6.0%、金融與投資 23.6%、其他 13.6%。主要客戶包含個人存款、房貸、信貸、信用卡與財富管理客戶,企業授信與現金管理客戶,高資產與私人銀行客群,保戶與投資型保單客戶,以及證券經紀、承銷、投信基金與資產管理客戶。

Outlook 2025–2028

2025 至 2028 年主軸為合併整合、通路擴大、壽險資本改善、銀行與財富管理成長、證券市占率提升、AI 與數位金融深化。成長動能包括:一、台新與新光合併後總資產躍升至 8 至 9 兆元級,跨銀行、壽險、證券與投信的客戶交叉銷售空間擴大;二、銀行端受惠於企業放款、外幣放款、財富管理與信用卡手續費成長,且資產品質目前維持良好,2026 年第一季台新銀行逾放比約 0.14%、覆蓋率約 907%;三、壽險端新光人壽在 IFRS 17/TW-ICS 新制下,重點將放在保障型與外幣保單、CSM 累積、資產負債匹配與避險成本控制,2026 年第一季 FYP 年增 78%、外幣保單占 FYP 73.3%,短期對獲利貢獻顯著;四、證券端合併元富後通路與市占率提升,經紀、財富管理、承銷與自營操作均有規模經濟;五、投信、投顧、資產管理與私人銀行可受惠台灣推動亞洲資產管理中心、高資產客群增加與跨境配置需求。主要風險與挑戰包括:合併整合進度、IT/營運/文化整合成本與執行風險;新光人壽帳上商譽、保險負債評價、利率與匯率波動、避險成本及資本適足壓力;銀行端利率下行可能壓縮利差,房市政策與景氣循環可能影響放款成長與信用成本;證券與財富管理收益受股債市場波動影響;金融監理、資安、防詐、個資與 ESG 要求提高營運成本。2027 至 2028 年若銀行整併如期完成,主要觀察點為成本收入比改善、重複分行與後勤系統整合效益、壽險 CSM 與資本比率穩定度、以及股利政策能否與資本需求取得平衡。

Supply Chain

Upstream
  • 存款戶、保戶與資本市場資金提供者 金融業無傳統製造供應鏈;銀行存款、保險保費、金融債、同業拆借及股東資本為主要資金來源,非單一上市櫃公司。
  • Visa、Mastercard、JCB 等國際卡組織 信用卡發卡、收單與支付清算網路供應商;多為海外機構或非台股掛牌。
  • 資訊系統、雲端、資安與金融科技供應商 提供核心銀行、保險、證券交易、資料分析、AI、防詐與資安服務;具體供應商未在本研究中完整確認,因此不填台股代號。
Downstream
  • 個人金融與財富管理客戶 存款、房貸、信貸、信用卡、基金、保險、私人銀行與高資產客群,非單一上市櫃公司。
  • 法人金融與企業授信客戶 涵蓋製造業、不動產與營造、零售批發、運輸通訊、金融投資等產業;台新銀行 2026 年第一季法金授信以製造業與金融投資比重較高,但未揭露主要客戶名單。
  • 證券與資本市場客戶 包含證券經紀客戶、承銷發行公司、投信基金投資人與機構法人;個別客戶未公開列示。

Competitors

Sources(14)

This company profile is compiled from public sources (annual reports, filings, news and analyst reports), not finlab backtest data; the 2025–2028 outlook contains forward-looking estimates and is for reference only.

Method and limitations

  • All returns use adjusted close (etl:adj_close), already adjusted for dividends and splits.
  • Excess return is measured against the TAIEX total-return index (dividends included).
  • Valuation regime and percentile stats use an expanding own-history window (no future data).
  • Revenue-signal event dates align to the first trading day after the filing deadline, avoiding look-ahead.
  • Event samples may overlap in time; stats describe historical distribution only and are less reliable when samples are few.

This page is historical statistics for educational purposes and is not investment advice. Investing involves risk; past performance does not indicate future results. Assess and bear the risk yourself before trading.