@trucloan1101: Tham gia sự kiện ra mắt sản phẩm Nu Gen của nhà Obagi Medical cùng tớ nhooo #ObagiMedicalVietnam #NUGEN #NAD #chamdakhoahoc #trucloan1101

Trai tim nho beee
Trai tim nho beee
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Thursday 19 March 2026 11:35:35 GMT
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ngothampoo
Ngô Thắm :
Da mình thuộc diện da nhạy cảm, có dấu hiệu lão hóa r :( k biết xài em này có ổn ko các nàng nhỉ
2026-03-20 14:50:51
0
bochungau
Private :
Tu vấn mình với nhá
2026-03-26 05:13:07
0
inniehaydi
Innie Hay Đi :
Đồ Obagi k chê đc
2026-03-25 11:08:17
0
hienvupun
Hiền Vũ :
sp nhìn sang xịn quóaa, mún mua trải nghiệm thử thì đặt ở đâu chính hãng z mọi ngừi
2026-03-20 14:51:50
0
vietanh3112
Việt Anh :
Ui obagii 🥰
2026-03-19 12:34:35
0
trangle_vibes
Trang má hồng :
Da khô dùng dc k b ơi
2026-03-25 11:50:57
0
thoitrangnu1231
HIỀN PHỐ BIỂN :
Da mụn già được không bà
2026-03-27 12:17:06
0
thuylinhnguyen1005
TLinh Review :
Obagi chân ái luôn í
2026-03-26 14:15:25
0
11_12205
Út Thương🐥 :
Da dầu dùng đc kh ạ
2026-03-26 04:11:10
0
fb.nho.nga.store.bmt
Nhỏ Nga Store :
Chân ái của tui lum ne
2026-03-26 03:29:02
0
tuyenthichriviuu
Tuyền Thích Rì Viu ✨🧸 :
Sản phẩm này xịn quá
2026-03-25 19:47:03
0
myphuc.0512
Mỹ Phúc (Kim Quí) :
Serum sd cho da mụn được hong ạ
2026-03-25 16:16:04
0
maymay970_0
Bốn mùa có mây :
C vừa đẹp vừa giỏi ạ
2026-03-25 16:00:33
0
skinwmai
𝒮𝓀𝒾𝓃 𝒲𝒾𝓉𝒽 ℳ𝒶𝒾ྀི :
🥰🥰🥰
2026-03-25 14:23:39
0
kemcoi22
KEM Bé Nhỏ🍒 :
Xinh thế c ơi e không nhìn thấy sp vì sự xinh ẹp này hh
2026-03-25 12:55:27
0
lamvien30490
Lâm Viên710 :
Obagi thì k chê đâu được
2026-03-25 12:19:29
0
ngochanofficiall
Ngọc Hân :
1 chai serum dùng được bao lâu
2026-03-25 12:07:50
0
yangyangd1
Yangoiiii :
Xinh quá nha ní 🥰🥰🥰
2026-03-19 11:37:30
0
giahan.2309
VanNguyen.96 :
Dòng này đắt mà khoa học, hơi bị hq
2026-03-25 11:21:57
0
yowonclinic99
YOWON SPA :
Sản phẩm nhin xịn quá muốn mua cho mẹ trải nghiệm qua ạ
2026-03-25 11:21:42
0
vysau1610
Lanvy :
T dg xài này ne ok á m @Tít ơi là Tít 🐰🎀
2026-03-25 10:57:08
0
phuonghongtiti
Phượng Hồng :
Đang đợi kquả trải nghiệm thực tế của bà với em Nu-gen này đây. Nếu đúng là da hồi xuân nhanh thế thì 3tr9 cũng đáng đầu tư mà
2026-03-20 14:51:37
0
baothybeen
Bảo Thy :
trẻ ra 1 tuổi sau 1 tuần nghe chấn động thực sự =))) tò mò mún rước nugen về thử ghê bay
2026-03-20 14:51:19
0
hinhindangiu
Hin Xinh :
check tn cv giúp c nha
2026-03-20 04:08:22
0
vanh14028
Vanh🪼 :
đẹp gái v tâ😍
2026-03-19 11:55:10
0
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Other Videos

➡️ Quant finance from scratch Part 9: volatility drag Step 1, plus 50 %, then minus 50 %. Start with $100. Gain 50 % and you have $150, lose 50 % and you have $75. The average of the two returns is 0 %, yet you are down 25 %. Step 2, why. The gain added $50, but the loss took half of $150, which is $75. Percent moves multiply (Part 5), so the loss hits a bigger pile. Step 3, the square. Up and down by the same percent s leaves (1 + s) × (1 − s) = 1 − s² of your money: $99 for 10 %, $75 for 50 %. Step 4, the rule. Per step that is about half the swing squared. This is volatility drag: your money grows at about the average return minus half the volatility squared. Step 5, the test. Two simulated investments, both built for 10 % a year on average, with a volatility of 10 % and 50 %. Over 10,000 simulated years the calm one averaged 9.9 % with a growth rate of 9.4 %, while the wild one averaged 11.0 % and its money shrank by 1.5 % a year. Step 6, the rule predicted both. Half the volatility squared is 0.5 % for calm and 12.5 % for wild: five times the swing, 25 times the drag, more than its whole average. Average minus drag gives 9.4 % and minus 1.5 %, matching the simulation to one decimal. So is your average return lying? It leaves out the drag. The average return is the average daily return times 252. The growth rate is the average daily log return times 252 (Part 5), the rate the money compounds at. The rule is approximate: for plus and minus 50 % the exact loss per step is 13.4 % against its 12.5 %. Why quants care: in the classic stock price model, the typical path grows at the average minus half the variance. The same drag hits funds that reset their leverage daily. This video is for education only, and nothing in it is financial advice. #quantfinance #volatilitydrag #compounding #volatility #python
➡️ Quant finance from scratch Part 9: volatility drag Step 1, plus 50 %, then minus 50 %. Start with $100. Gain 50 % and you have $150, lose 50 % and you have $75. The average of the two returns is 0 %, yet you are down 25 %. Step 2, why. The gain added $50, but the loss took half of $150, which is $75. Percent moves multiply (Part 5), so the loss hits a bigger pile. Step 3, the square. Up and down by the same percent s leaves (1 + s) × (1 − s) = 1 − s² of your money: $99 for 10 %, $75 for 50 %. Step 4, the rule. Per step that is about half the swing squared. This is volatility drag: your money grows at about the average return minus half the volatility squared. Step 5, the test. Two simulated investments, both built for 10 % a year on average, with a volatility of 10 % and 50 %. Over 10,000 simulated years the calm one averaged 9.9 % with a growth rate of 9.4 %, while the wild one averaged 11.0 % and its money shrank by 1.5 % a year. Step 6, the rule predicted both. Half the volatility squared is 0.5 % for calm and 12.5 % for wild: five times the swing, 25 times the drag, more than its whole average. Average minus drag gives 9.4 % and minus 1.5 %, matching the simulation to one decimal. So is your average return lying? It leaves out the drag. The average return is the average daily return times 252. The growth rate is the average daily log return times 252 (Part 5), the rate the money compounds at. The rule is approximate: for plus and minus 50 % the exact loss per step is 13.4 % against its 12.5 %. Why quants care: in the classic stock price model, the typical path grows at the average minus half the variance. The same drag hits funds that reset their leverage daily. This video is for education only, and nothing in it is financial advice. #quantfinance #volatilitydrag #compounding #volatility #python

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