Get started
KODEX ULTRA T-BOND FUTURES INVERSE(H)KODEX ULTRA T-BOND FUTURES INVERSE(H)KODEX ULTRA T-BOND FUTURES INVERSE(H)

KODEX ULTRA T-BOND FUTURES INVERSE(H)

No trades
See on Supercharts
Overview
Analysis Discussions Technicals Seasonals

304670 chart


Full chart

Key stats


Assets under management (AUM)
‪6.97 B‬ KRW
Fund flows (1Y)
‪−1.14 B‬ KRW
Dividend yield (indicated)
—
Discount/Premium to NAV
1.2%

About KODEX ULTRA T-BOND FUTURES INVERSE(H)


Issuer
Samsung Life Insurance Co., Ltd.
Brand
KODEX
Expense ratio
0.30%
Home page
kodex.com
Inception date
Sep 12, 2018
Index tracked
S&P Ultra T-Bond Futures Excess Return Index
Management style
Passive
ISIN
KR7304670003
KODEX Ultra T-bond Futures Inverse ETF(H) seeks to track the inverse daily performance of the S&P Ultra T-Bond Futures Excess Return Index by investing in Ultra T-Bond Futures Contracts as its major investment asset. Moreover, this ETF takes the currency hedged index return by executing a currency hedging strategy.

Classification


Asset Class
Fixed income
Category
Government, treasury
Focus
Investment grade
Niche
Long-term
Strategy
Vanilla
Weighting scheme
Market value
Selection criteria
Market value

304670 analysis


What's in the fund
Exposure type
Bonds, Cash & Other
Cash
ETF
Bonds, Cash & Other100.00%
Cash264.42%
ETF42.13%
Futures−206.55%

Technicals

Summarizing what the indicators are suggesting.
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy

Seasonals


Displays a symbol's price movements over previous years to identify recurring trends.