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SYMBOL
LAST
BID
ASK
HIGH
LOW
NET CHG.
%CHG.
SPREAD
SOURCE
SPX
S&P 500 Index
7437.64
7437.64
7437.64
7448.75
7370.98
+121.48
+ 1.66%
--
--
DJI
Dow Jones Industrial Average
52208.06
52208.06
52208.06
52266.45
51655.52
+613.92
+ 1.19%
--
--
IXIC
NASDAQ Composite Index
25122.17
25122.17
25122.17
25171.44
24813.84
+679.22
+ 2.78%
--
--
USDX
US Dollar Index
100.000
100.000
100.080
100.000
99.850
+0.210
+ 0.21%
--
--
EURUSD
Euro / US Dollar
1.15110
1.15110
1.15118
1.15310
1.15110
-0.00157
-0.14%
--
--
GBPUSD
Pound Sterling / US Dollar
1.34483
1.34483
1.34492
1.34707
1.34483
-0.00143
-0.11%
--
--
XAUUSD
Gold / US Dollar
4084.03
4084.03
4084.48
4111.58
4083.19
-19.19
-0.47%
--
--
WTI
Light Sweet Crude Oil
81.387
81.387
81.422
82.859
80.968
-1.243
-1.50%
--
--

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Share

Yamato Securities: Any Intervention To Support The Yen May Merely Be A Stopgap Measure

Share

National Bureau Of Statistics: Production And Demand In Certain Equipment-manufacturing Industries Have Grown Rapidly

Share

US Soybean Oil Fell 2.00% On The Day, Currently Trading At 66.85 Cents Per Pound

Share

National Bureau Of Statistics: The Non-manufacturing Business Activity Index Has Declined, While The Cultural And Tourism Sectors Remain Relatively Robust

Share

National Bureau Of Statistics: Composite PMI Output Index Below Threshold

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National Bureau Of Statistics: The Equipment Manufacturing And High-tech Manufacturing Sectors Continue To Play A Pivotal Supporting And Leading Role

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China's July Non-manufacturing PMI Came In At 49, Below The Expected 50 And Down From The Previous Reading Of 50.2

Share

Australia's Second-quarter PPI Rose 1.3% Quarter-on-quarter, Compared With The Previous Reading Of 0.40%

Share

Australia's Producer Price Index (PPI) Annual Rate For Q2 Stood At 3.6%, Up From The Previous Reading Of 3.00%

Share

China's Manufacturing Purchasing Managers' Index (PMI) Was 49.2% In July, Indicating That The Manufacturing Sector Is Relatively Resilient

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The Main Glass Futures Contract Rose 2.00% Intraday, Currently Trading At 890.00 Yuan/ton

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The Most Active Egg Futures Contract Fell 2.00% During The Day, Currently Trading At 3962.00 Yuan/500 Kg

Share

China's Central Bank (PBOC) Announced Today That It Conducted 134 Billion Yuan Of 7-day Reverse Repurchase Operations, With Both Bids And Winning Bids Amounting To 134 Billion Yuan, At An Interest Rate Of 1.40%. Simultaneously, It Conducted 600 Billion Yuan Of Overnight Reverse Repurchase Operations

Share

China's Official Manufacturing PMI For July Will Be Released In Ten Minutes

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The Main Polysilicon Futures Contract Rose 2.00% Intraday, Currently Trading At 33,170 Yuan/ton

Share

Spot Gold Fell Below $4,090 Per Ounce, Down 0.33% On The Day

Share

Spot Palladium Fell Below $1,300 Per Ounce, Down 1.13% On The Day

Share

WTI Crude Oil Fell 2% On The Day, Dropping Below $81 Per Barrel. Brent Crude Oil Fell 1.6% To $85.4 Per Barrel

Share

The Main Methanol Futures Contract Fell 2.00% During The Day, Currently Trading At 2603.00 Yuan/ton

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The Main Ethylene Glycol Contract Fell Below 5,000 Yuan/ton, Down 1.69% On The Day

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U.S. Initial Jobless Claims 4-Week Avg. (SA)

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U.S. Weekly Continued Jobless Claims (SA)

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U.S. Weekly Initial Jobless Claims (SA)

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U.S. Dallas Fed PCE Price Index YoY (Jun)

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South Korea Industrial Output MoM (SA) (Jun)

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Japan Unemployment Rate (Jun)

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Japan Tokyo Core CPI YoY (Jul)

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Japan Retail Sales YoY (Jun)

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Japan Industrial Output Prelim YoY (Jun)

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Japan Retail Sales MoM (SA) (Jun)

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Australia PPI YoY (Q2)

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Australia PPI QoQ (Q2)

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China, Mainland NBS Non-manufacturing PMI (Jul)

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China, Mainland Composite PMI (Jul)

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BOJ Monetary Policy Statement
Japan New Housing Starts YoY (Jun)

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France PPI MoM (Jun)

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Germany Unemployment Rate (SA) (Jul)

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U.S. Chicago PMI (Jul)

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U.S. Weekly Total Rig Count

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U.S. Weekly Total Oil Rig Count

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South Korea Trade Balance Prelim (Jul)

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Q&A with Experts
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    EuroTrader flag
    Osaghae Cephas
    @EuroTraderif u made alot of profit could u lend me 5h$ I'll repay you 4k$ 😩
    @Osaghae Cephaslolllss I didn't make that much today. I still have running trade in loss. I don't trade USDjpy at all
    EuroTrader flag
    Osaghae Cephas
    @EuroTraderno bro
    @Osaghae CephasI didn't see you for most of the day so I guess you were really busy today
    EuroTrader flag
    Osaghae Cephas
    @EuroTraderif u made alot of profit could u lend me 5h$ I'll repay you 4k$ 😩
    @Osaghae CephasIf it's trading them please don't ask for this stuff cause it's not gonna be an easy ride
    Osaghae Cephas flag
    EuroTrader
    @Osaghae Cephaslolllss I didn't make that much today. I still have running trade in loss. I don't trade USDjpy at all
    @EuroTraderohh ok
    Osaghae Cephas flag
    EuroTrader
    @Osaghae CephasIf it's trading them please don't ask for this stuff cause it's not gonna be an easy ride
    @EuroTraderit's not for trading bro if u lend me u will be surprised how fast I'll repay
    "Osaghae Cephas" recalled a message
    Osaghae Cephas flag
    @EuroTraderyes look the figure am asking you out for is my one way ticket too .financial Freedom. just take ur time too think about it please.... I already know ur worth more than that figure...
    Billion$$$ flag
    hey guys what is happening to gold ?
    5057673 flag
    @EuroTradersir usdjyp buying?
    "GOLD TRADER" recalled a message
    GOLD TRADER flag
    GOLD TRADER
    This message was recalled.
    follow guys
    GOLD TRADER flag
    GOLD TRADER
    This message was recalled.
    4093
    GOLD TRADER flag
    GOLD TRADER
    This message was recalled.
    tp 1 hit successfully 30 pips done market touched 4093
    "GOLD TRADER" recalled a message
    GOLD TRADER flag
    GOLD BUY NOW 4090+ 4088 TP ¹ •  4093 TP ² •  4096 TP ³ •  4099 TP ⁴ •  4103    SL • 4081
    GOLD TRADER flag
    GOLD TRADER
    GOLD BUY NOW 4090+ 4088 TP ¹ •  4093 TP ² •  4096 TP ³ •  4099 TP ⁴ •  4103    SL • 4081
    tp 1 hit successfully 40 pips done market touched 4094
    GOLD TRADER flag
    GOLD TRADER
    GOLD BUY NOW 4090+ 4088 TP ¹ •  4093 TP ² •  4096 TP ³ •  4099 TP ⁴ •  4103    SL • 4081
    tp 1 hit successfully 50 pips done market touched 4095
    风神1号 flag
    4090 buy
    GOLD TRADER flag
    GOLD TRADER
    GOLD BUY NOW 4090+ 4088 TP ¹ •  4093 TP ² •  4096 TP ³ •  4099 TP ⁴ •  4103    SL • 4081
    tp 1 hit successfully 90 pips done market touched 4099
    TIPU SULTAN flag
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          Affordability of Long-term Care Systems in Times of Rapid Population Ageing

          CEPR

          Economic

          Summary:

          This column compares the impact of diverse social protection measures across 32 OECD and EU countries on poverty rates and out-of-pocket expenses among older adults with care needs.

          Population ageing is accelerating rapidly. Across OECD countries, the share of people aged 65+ has doubled from less than 9% in 1960 to 18% as of 2021 (OECD 2023) and is expected to reach 27% by 2050, increasing demand for long-term care services (Kotschy and Bloom 2022). At the same time, there is growing public pressure to reduce the care burden on families and individuals in favour of government funding and the provision of long-term care (Ilinca and Simmons 2022). Combined with the rising costs of care (OECD 2023), these trends are adding pressure to the fiscal sustainability of public long-term care systems. Ensuring the cross-country comparability of the costs and benefits of public long-term care schemes in 32 OECD and EU countries, a new OECD report compares current long-term care costs across countries and presents evidence on the effectiveness of public expenditures in alleviating the financial burden on care recipients.

          Despite public support, long-term care remains unaffordable for many older people

          Without sufficient public support, long-term care services are unaffordable for most older people. The average long-term care cost for individuals with low care needs, already 42% of the median income of older people (without public support), could reach 259% for those with severe care needs. Even though all OECD countries included in the report cover at least part of the cost through benefit schemes, individuals’ out-of-pocket expenses remain substantial, particularly for older people with severe needs (see Figure 1). On average, these costs represent over 70% of the median income of older people across OECD countries, even after accounting for public social protection. However, there is significant variation among the analysed countries. In the Nordic countries such as Finland, Iceland, and Denmark, out-of-pocket costs remain below 5% of median income, while in Italy and Estonia, these costs exceed 150%, effectively pushing older adults into poverty or leaving them with unmet care needs.
          Affordability of Long-term Care Systems in Times of Rapid Population Ageing_1
          High out-of-pocket expenses for long-term care significantly increase the poverty risk among older people (see Figure 2). On average, poverty rates for older adults with long-term care needs are 31 percentage points higher than for the general older population. The long-term care systems in Scandinavian countries, Luxembourg, and the Netherlands are among the most effective at reducing poverty risks linked to care expenses. In contrast, the poverty risk among long-term care recipients in Italy and Spain is much higher – more than 60 percentage points – in comparison to the total older population (aged 65+).
          Affordability of Long-term Care Systems in Times of Rapid Population Ageing_2

          Policy options to tackle growing demand for long-term care services

          Rising costs, growing demand, and low productivity gains are placing substantial financial pressure on public long-term care systems. The OECD report analyses how this financial pressure could impact future long-term care spending under different scenarios (see Figure 3). In the first scenario (the ‘ageing scenario’) – whereby countries maintain the current level of support and the existing share of older adults with needs receiving long-term care – expenditures are projected to rise by an average of 91% by 2050. In the second scenario (the ‘high coverage scenario’), which assumes an increase to 60% of the share of older adults with care needs, expenditures would increase by 144%. Finally, in the ‘no copayment scenario’, out-of-pocket expenses are fully eliminated and long-term care expenditures grow by more than 300%.
          Affordability of Long-term Care Systems in Times of Rapid Population Ageing_3
          While population ageing is unavoidable, countries can help older populations adopt healthier lifestyles and introduce preventive measures to reduce dependency and health issues for as long as possible. Programmes like home visits in Scandinavian countries have proven to be cost-effective by increasing the number of active, healthy years (Kronborg et al. 2006). Such policies could reduce future long-term care spending by 13% compared to the baseline high coverage scenario (see healthy ageing scenario, Figure 3).
          Although labour productivity growth in the long-term care sector remains low or even negative (OECD 2023), emerging technologies could be put to better use to help reduce overall care costs. OECD simulations suggest that if productivity growth in long-term care reached even half the average productivity growth of the overall economy, long-term care spending by 2050 could be 13% lower than in the baseline high coverage scenario (see productivity growth scenario, Figure 3). New user-centred support tools, such as environmental and wearable sensors, can assist long-term care providers in monitoring, positioning, and recognising physical movements (Bibbò et al. 2022). Virtual carers also play an increasingly important role, supporting both care recipients and providers in managing conditions like diabetes, depression, and heart failure (Bin Sawad et al. 2022).
          While taxes are the most common source of long-term care funding, some countries have introduced public long-term care insurance to achieve better risk-sharing and address transparency challenges. For example, Slovenia introduced a long-term care insurance scheme in 2023, aiming to create a more comprehensive system, improve funding transparency, and avoid increasing public-sector debt.
          With limited public resources, countries may prioritise supporting individuals most in need: those with low incomes and those with severe long-term care needs. An example of such a policy would be capping out-of-pocket expenses at 60%, 40%, and 20% of care costs for older adults with low, moderate, and severe needs, respectively. Our simulation reveals that such a needs-testing approach could be an attractive option for countries like Latvia, Malta, and Hungary. In these cases, the simulation indicates that this strategy could reduce overall public long-term care spending without significantly increasing the poverty risk among recipients (OECD 2024).
          Furthermore, more progressive cost-sharing across the income distribution can help manage long-term care budgets and limit poverty among care recipients. Almost 90% of OECD and EU countries analysed in the report apply some form of income-testing to define levels of support, but individuals with low incomes still face a significantly higher risk of poverty. Optimising income-testing to focus on vulnerable populations can further improve outcomes. In about one-third of the analysed OECD countries, this approach leads to lower long-term care spending and reduces poverty among care recipients, or at least contains spending without increasing poverty rates (OECD 2024).

          Conclusion

          Achieving fair access to long-term care and the fiscal sustainability of public systems amid population ageing is a challenge for policymakers. The OECD analysis reveals that existing systems are often unaffordable and badly targeted: there is substantial room for improvement and reforms. The promotion of healthy ageing, proactive use of new technologies to elevate the care sector’s productivity, revision of eligibility rules to enable more targeted and inclusive coverage, diversification of funding sources, and optimisation of income-testing are all viable policy options. Each is worth exploring in the search for resilient long-term care systems that can withstand demographic shifts and evolving societal needs.
          To stay updated on all economic events of today, please check out our Economic calendar
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