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Trading Patterns and Prices in the Interbank Foreign Exchange Market

ABSTRACT The behavior of quote arrivals and bid‐ask spreads is examined for continuously recorded deutsche mark‐dollar exchange rate data over time, across locations, and by market participants. A pattern in the intraday spread and intensity of market activity over time is…

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Volatility (finance) · Volatility clustering · Economics · Econometrics · Liberian dollar · Foreign exchange market · Foreign exchange · Financial economics

# Trading Patterns and Prices in the Interbank Foreign Exchange Market > OpenAlex Metadata Hub · https://openalex.org/W2008034279 ## Bibliographic - **DOI:** 10.1111/j.1540-6261.1993.tb04760.x - **Year:** 1993 - **Citations:** 366 - **Open Access:** No (closed) - **License:** — - **Source:** https://doi.org/10.1111/j.1540-6261.1993.tb04760.x ## Authors - Tim Bollerslev - Ian Domowitz ## Abstract ABSTRACT The behavior of quote arrivals and bid‐ask spreads is examined for continuously recorded deutsche mark‐dollar exchange rate data over time, across locations, and by market participants. A pattern in the intraday spread and intensity of market activity over time is uncovered and related to theories of trading patterns. Models for the conditional mean and variance of returns and bid‐ask spreads indicate volatility clustering at high frequencies. The proposition that trading intensity has an independent effect on returns volatility is rejected, but holds for spread volatility. Conditional returns volatility is increasing in the size of the spread. ## Keywords Volatility (finance), Volatility clustering, Economics, Econometrics, Liberian dollar, Foreign exchange market, Foreign exchange, Financial economics, Monetary economics, Autoregressive conditional heteroskedasticity, Finance ## Concepts - Volatility (finance) - Volatility clustering - Economics - Econometrics - Liberian dollar - Foreign exchange market - Foreign exchange - Financial economics - Monetary economics - Autoregressive conditional heteroskedasticity - Finance --- *Metadata only — full text not imported unless Open Access license permits.*
Bài “Trading Patterns and Prices in the Interbank Foreign Exchange Market” được TradingBase chuyển thành Knowledge Product cho trader — không phải trang đọc abstract OpenAlex. Tóm lược học thuật (đã diễn giải): ABSTRACT The behavior of quote arrivals and bid‐ask spreads is examined for continuously recorded deutsche mark‐dollar exchange rate data over time, across locations, and by market participants. A pattern in the intraday spread and intensity of market activity over time is uncovered and related to theories of trading patterns. Models for the conditional mean and variance of returns and bid‐ask spreads indicate volatility clustering at high frequencies. The proposition that trading intensity has an independent effect on returns volatility is rejected, but holds for spread volatility. Conditional returns volatility is increasing in the size of the spread. Phần Trading Insights bên dưới nối nghiên cứu với Forex, vàng, USD, lãi suất và risk regime — để bạn đưa vào journal và playbook. Metadata DOI/OA chỉ là rail tham chiếu; nội dung chính là summary, takeaways và ứng dụng thị trường do Content Factory sinh.

1. ABSTRACT The behavior of quote arrivals and bid‐ask spreads is examined for continuously recorded deutsche mark‐dollar exchange rate data over time, across locations, and by market participants.

2. A pattern in the intraday spread and intensity of market activity over time is uncovered and related to theories of trading patterns.

3. Models for the conditional mean and variance of returns and bid‐ask spreads indicate volatility clustering at high frequencies.

4. The proposition that trading intensity has an independent effect on returns volatility is rejected, but holds for spread volatility.

5. Conditional returns volatility is increasing in the size of the spread.

Trader nên nối luận điểm policy/lãi suất trong tài liệu với bias trung hạn của USD và các cặp major — đặc biệt quanh FOMC / dữ liệu CPI.

Với XAUUSD: kỳ vọng cắt lãi / USD yếu thường hỗ trợ vàng; hawkish surprise thường gây áp lực giảm — dùng khung này để đọc reaction sau tin, không đoán trước.

Áp dụng vào FX: theo dõi transmission từ theory (pricing, carry, balance-sheet) sang hành vi giá trên M15–H4 sau các event thanh khoản cao.

Góc Forex: đối chiếu kết luận bài với hành giá gần nhất và lịch tin impact cao trước khi vào lệnh.

Góc Gold (XAUUSD): đối chiếu kết luận bài với hành giá gần nhất và lịch tin impact cao trước khi vào lệnh.

  • Trading: rút 1 bias hoặc 1 setup hypothesis từ Key Takeaways, test trên demo/journal trước khi live.
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  • Journal: mỗi tuần ghi 1 đoạn “theory → market observation → outcome” dựa trên bài này.
  • Portfolio: nếu bài nói macro/liquidity, đánh dấu exposure risk-on/off và hedge (ví dụ XAU) tương ứng.
  • Prop Firm: ưu tiên trade có thesis macro rõ + news filter; tránh scalp trong cửa sổ tin nếu chưa có edge.
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