FRM: Intro to Quant Finance: Volatility c squared financial

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ความผันผวนคือค่าเบี่ยงเบนมาตรฐานของผลตอบแทนรอบระยะเวลา สำหรับวิดีโอความเสี่ยงทางการเงินเพิ่มเติม โปรดเยี่ยมชมเว็บไซต์ของเรา! .

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FRM: Intro to Quant Finance: Volatility

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FRM: Intro to Quant Finance: Volatility
c squared financial
ดูวิธีการทำเงินออนไลน์ล่าสุดทั้งหมด: ดูเพิ่มเติมที่นี่
ดูวิธีการทำเงินออนไลน์ล่าสุดทั้งหมด: ดูเพิ่มเติมที่นี่

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13 thoughts on “FRM: Intro to Quant Finance: Volatility c squared financial”

  1. I like the comparison of equation to transposing into Excel for it gives a complete . Don't discount a 7 day to 14 day time frame as being too short. When trading earnings this is the best time frame for volatile assets prior and after releasing their Earnings Per Share.
    Totally blown away by your break down of the equation when calibrating it to Excel.

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  2. This formula is the most fundamental set up for determining your decision regarding the duration of momentum for either Call or Put options. – the Seven day – Fourteen Day time frame will give an options trader the definitive means of knowing if volatility is there premium Bid/Ask spreads are less than $0.05 – during intraday trading. As far as "quant" my blockchain data feeds are aligned to statistical analysis – computed into the net share volumes of both Bid and Ask. That's the second volatility score you'd be watching. Thanks so much for posting – made my day – and profits.

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  3. he doesn't have dec-9 shown, but I assume he would take the natural logarithm of google's close on dec 10 divided by google's close on dec 9 … =ln(B8/B7)

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  4. Maybe it's not clear to you, but my video is about financial volatility not chemistry. Even in finance, volatility has five (5) different definitions. One of my pet peeves is the tendency, sometimes borne of academic hubris, to assume that some words are "owned" and/or concrete. To use stable here would be utterly confusing. Only the Ego wants to confuse. Humpty Dumpty the wise egg said, the word means what I choose it to mean…

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