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SYMBOL
LAST
BID
ASK
HIGH
LOW
NET CHG.
%CHG.
SPREAD
SOURCE
SPX
S&P 500 Index
7656.97
7656.97
7656.97
7677.02
7636.75
+65.28
+ 0.86%
--
--
DJI
Dow Jones Industrial Average
52573.29
52573.29
52573.29
52720.24
52204.46
+509.19
+ 0.98%
--
--
IXIC
NASDAQ Composite Index
26333.03
26333.03
26333.03
26431.22
26283.11
+251.31
+ 0.96%
--
--
USDX
US Dollar Index
99.080
99.080
99.160
0.000
0
0.000
0.00%
--
--
EURUSD
Euro / US Dollar
1.15680
1.15680
1.15688
1.15965
1.15620
-0.00292
-0.25%
--
--
GBPUSD
Pound Sterling / US Dollar
1.35030
1.35030
1.35039
1.35280
1.35002
-0.00220
-0.16%
--
--
XAUUSD
Gold / US Dollar
4336.88
4336.88
4337.22
4355.21
4321.98
-12.18
-0.28%
--
--
WTI
Light Sweet Crude Oil
98.433
98.433
98.463
99.615
98.133
+1.859
+ 1.92%
--
--

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Share

The Main Red Date Futures Contract Fell 2.00% During The Day, Currently Trading At 7475.00 Yuan/ton

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ECB Governing Council Member Kassacs: The Possibility Of Further Policy Tightening Is Increasing, And We Can Take Action Gradually Without Rushing

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ECB Governing Council Member Kassacs: The Output Gap Is Narrowing, Which Means That The Transmission To Prices And Wages May Be Strengthened

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The Most Active Soybean Futures Contract (No. 1) Fell 2.00% Intraday, Currently Trading At 5012.00 Yuan/ton. The Most Active Soybean Futures Contract (No. 2) Fell More Than 2.00% Intraday, Currently Trading At 4074.00 Yuan/ton

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The Most Active Palm Oil Contract Touched 10,000 Yuan/ton, Down 1.50% On The Day

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South Korea's Ministry Of Foreign Affairs Condemned The Houthi Attacks On Saudi Civilians And Economic Facilities And Called For An Immediate Halt

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Ukrainian President Volodymyr Zelenskyy Has Called On Parliament To Remove The Prosecutor General From Office As Soon As Possible

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According To Saudi Media Hadas, Saudi-backed Yemeni Armed Forces Have Recaptured Southwestern Positions In Taiz That Had Been Infiltrated By Houthi Rebels

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Bangladesh's Energy Minister: Bangladesh Has Had To Purchase From The Spot Market To Replace The 110 LNG Shipments Originally Planned To Be Imported From Qatar

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U.S. Treasury Yields Mostly Declined As Markets Await A Federal Reserve Rate Hike

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The Main Plastic Futures Contract Fell By 2.00% During The Day, Currently Trading At 8532.00 Yuan/ton

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The Main Starch Futures Contract Fell By 2.00% During The Day, Currently Trading At 2459.00 Yuan/ton

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The Main Shanghai Zinc Contract Fell By 2.00% During The Day, Currently Trading At 26,285.00 Yuan/ton

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Institution: Last Week's Rise In U.S. Treasury Yields Was Driven By Oil Prices

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BNP Paribas: Expects The Federal Reserve To Raise Interest Rates Three Times Between September 2026 And January 2027

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The Main Ethylene Glycol Contract Fell 2.00% During The Day, Currently Trading At 5800.00 Yuan/ton

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The Main Styrene (EB) Contract Fell To 10,100 Yuan/ton, Down 1.99% On The Day

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The Main Caustic Soda Contract Fell By 4.00% During The Day, And Is Currently Trading At 1888 Yuan/ton

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According To Interfax News Agency, The Fire At The Factory In Nizhny Kamsk, Russia, Which Was Attacked By Drones, Has Been Extinguished

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JERA Global CEO: Starting January 1st Next Year, Russian Liquefied Natural Gas And Natural Gas Supplies To Europe Will Cease, And Natural Gas Prices May Rise Further

TIME
ACT
FCST
PREV
IMPACT
U.K. Inflation Rate Expectations

A:--

F: --

P: --

GBPUSD
  • GBPUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
Russia Key Rate

A:--

F: --

P: --

WTI
  • WTI
  • XAUUSD
  • XAGUSD
  • USDX
India Deposit Gowth YoY

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
Brazil CPI YoY (Aug)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
Mexico Industrial Output YoY (Jul)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. Core CPI YoY (Not SA) (Aug)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. Core CPI MoM (SA) (Aug)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. Core CPI (SA) (Aug)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. CPI MoM (SA) (Aug)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. CPI YoY (Not SA) (Aug)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. CPI MoM (Not SA) (Aug)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. Real Income MoM (SA) (Aug)

A:--

F: --

P: --
USDX
  • USDX
  • XAUUSD
  • XAGUSD
  • WTI
Germany Current Account (Not SA) (Jul)

A:--

F: --

P: --
EURUSD
  • EURUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
Russia Trade Balance (Jul)

A:--

F: --

P: --

WTI
  • WTI
  • XAUUSD
  • XAGUSD
  • USDX
U.S. UMich Consumer Expectations Index Prelim (Sept)

A:--

F: --

P: --

USDX
  • USDX
  • XAUUSD
  • XAGUSD
  • WTI
U.S. UMich Current Economic Conditions Index Prelim (Sept)

A:--

F: --

P: --

USDX
  • USDX
  • XAUUSD
  • XAGUSD
  • WTI
U.S. UMich Consumer Sentiment Index Prelim (Sept)

A:--

F: --

P: --

USDX
  • USDX
  • XAUUSD
  • XAGUSD
  • WTI
U.S. UMich 1-Year-Ahead Inflation Expectations Prelim (Sept)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. 5-10 Year-Ahead Inflation Expectations (Sept)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. Cleveland Fed CPI MoM (Aug)

A:--

F: --

P: --

USDX
  • USDX
  • XAUUSD
  • XAGUSD
  • WTI
Russia CPI YoY (Aug)

A:--

F: --

P: --

WTI
  • WTI
  • XAUUSD
  • XAGUSD
  • USDX
U.S. Weekly Total Oil Rig Count

A:--

F: --

P: --

WTI
  • WTI
  • XAUUSD
  • XAGUSD
  • USDX
U.S. Weekly Total Rig Count

A:--

F: --

P: --

WTI
  • WTI
  • XAUUSD
  • XAGUSD
  • USDX
ECB Chief Economist Lane Speaks
U.S. Budget Balance (Aug)

A:--

F: --

P: --

USDX
  • USDX
  • XAUUSD
  • XAGUSD
  • WTI
ECB President Lagarde Speaks
China, Mainland Social Financing Scale (Aug)

--

F: --

P: --

China, Mainland M0 Money Supply YoY (Aug)

--

F: --

P: --

China, Mainland M1 Money Supply YoY (Aug)

--

F: --

P: --

China, Mainland M2 Money Supply YoY (Aug)

--

F: --

P: --

Japan Industrial Output Final YoY (Jul)

A:--

F: --

P: --

USDJPY
  • USDJPY
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
Japan Industrial Output Final MoM (Jul)

A:--

F: --

P: --

USDJPY
  • USDJPY
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
China, Mainland Outstanding Loans Growth YoY (Aug)

--

F: --

P: --

India CPI YoY (Aug)

--

F: --

P: --

Canada National Economic Confidence Index

--

F: --

P: --

Canada Manufacturing Inventory MoM (Jul)

--

F: --

P: --

Canada CPI MoM (Aug)

--

F: --

P: --

Canada CPI YoY (Aug)

--

F: --

P: --

Canada Core CPI YoY (Aug)

--

F: --

P: --

Canada Trimmed CPI YoY (SA) (Aug)

--

F: --

P: --

Canada Manufacturing Unfilled Orders MoM (Jul)

--

F: --

P: --

Canada Manufacturing New Orders MoM (Jul)

--

F: --

P: --

Canada Core CPI MoM (Aug)

--

F: --

P: --

China, Mainland Urban Area Unemployment Rate (Aug)

--

F: --

P: --

China, Mainland Industrial Output YoY (YTD) (Aug)

--

F: --

P: --

U.K. Unemployment Claimant Count (Aug)

--

F: --

P: --

U.K. 3-Month ILO Employment Change (Jul)

--

F: --

P: --

U.K. 3-Month ILO Unemployment Rate (Jul)

--

F: --

P: --

U.K. Unemployment Rate (Aug)

--

F: --

P: --

Saudi Arabia CPI YoY (Aug)

--

F: --

P: --

U.K. Average Weekly Earnings (3-Month Average, Excluding Bonuses) YoY (Jul)

--

F: --

P: --

U.K. Average Weekly Earnings (3-Month Average, Including Bonuses) YoY (Jul)

--

F: --

P: --

France HICP Final MoM (Aug)

--

F: --

P: --

Canada Existing Home Sales MoM (Aug)

--

F: --

P: --

Euro Zone ZEW Economic Sentiment Index (Sept)

--

F: --

P: --

Germany ZEW Economic Sentiment Index (Sept)

--

F: --

P: --

Germany ZEW Current Conditions Index (Sept)

--

F: --

P: --

Euro Zone ZEW Current Conditions Index (Sept)

--

F: --

P: --

Euro Zone Trade Balance (SA) (Jul)

--

F: --

P: --

Euro Zone Trade Balance (Not SA) (Jul)

--

F: --

P: --

Germany 2-Year Schatz Auction Avg. Yield

--

F: --

P: --

Q&A with Experts
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    SlowBear ⛅ flag
    Eon
    Morning guys, the 4309 to 4275 is an interesting level for xauusd. Monitor it diligently
    @EonHello bro, how are you doing today?
    SlowBear ⛅ flag
    sanjeev
    my shorts just below 4361 opened on friday.just below trend change level now 4327
    @sanjeevAnd where is your target level for this short bro?
    Eon flag
    SlowBear ⛅
    @EonHello bro, how are you doing today?
    @SlowBear ⛅ I am doing well and your side bro?
    SlowBear ⛅ flag
    Eon
    @SlowBear ⛅ I am doing well and your side bro?
    @EonI am doing very well too brother, what are you trading today?
    sanjeev flag
    Eon flag
    SlowBear ⛅
    @EonI am doing very well too brother, what are you trading today?
    @SlowBear ⛅ I am planning for a bumpy week.. close attention to xauusd, usdjpy and eurusd
    sanjeev flag
    SlowBear ⛅
    @sanjeevAnd where is your target level for this short bro?
    @SlowBear ⛅ bro 4521 was my first tgt but reversed from 4322 now trailing sl 4343 for my shorts.if hits will give it.my shorts just below 4361 so will take the profit with a pinch of salt as tgt missed by one point but if breaks 4317 then ok
    SlowBear ⛅ flag
    Eon
    @SlowBear ⛅ I am planning for a bumpy week.. close attention to xauusd, usdjpy and eurusd
    @Eon same here bro, it could be on. of the most conseuential week of them all
    SlowBear ⛅ flag
    Eon
    @SlowBear ⛅ I am planning for a bumpy week.. close attention to xauusd, usdjpy and eurusd
    @EonI have my eyes on EURUSD and XAU as well, USDJPY i really do not see myself touching
    SlowBear ⛅ flag
    sanjeev
    @SlowBear ⛅ bro 4521 was my first tgt but reversed from 4322 now trailing sl 4343 for my shorts.if hits will give it.my shorts just below 4361 so will take the profit with a pinch of salt as tgt missed by one point but if breaks 4317 then ok
    @sanjeev oh well that is very good, i see you already have a full hang on the trade already i say ride on
    SlowBear ⛅ flag
    sanjeev
    @SlowBear ⛅ bro 4521 was my first tgt but reversed from 4322 now trailing sl 4343 for my shorts.if hits will give it.my shorts just below 4361 so will take the profit with a pinch of salt as tgt missed by one point but if breaks 4317 then ok
    @sanjeevAlso, with your target below 4355 or so, i think. i see that happening before NY market open
    sanjeev flag
    SlowBear ⛅
    @sanjeevAlso, with your target below 4355 or so, i think. i see that happening before NY market open
    @SlowBear ⛅ yeh bro very much possible today.if not today tommorow .if that happens it would be healthy for gold
    Benjamin Tailor flag
    Eurusd going down to more down. Could be up.
    SlowBear ⛅ flag
    sanjeev
    @SlowBear ⛅ yeh bro very much possible today.if not today tommorow .if that happens it would be healthy for gold
    @sanjeev yes if not today possibly tomorrow, but verall the shotr term momentum on gold is bearish
    Benjamin Tailor flag
    ?
    SlowBear ⛅ flag
    SlowBear ⛅
    @sanjeev yes if not today possibly tomorrow, but verall the shotr term momentum on gold is bearish
    @sanjeevAnd further decline is what i am anticipatiing for at themoment
    SlowBear ⛅ flag
    Benjamin Tailor
    Eurusd going down to more down. Could be up.
    @Benjamin TailorWell it could be up, if you are watching on the 4H timefra,e
    SlowBear ⛅ flag
    Benjamin Tailor
    ?
    @Benjamin TailorFocusing on the 15min i will say EURUSD would likely fall till after FOMC meeting
    3DX cheetah flag
    5530878 flag
    3DX cheetah
    @3DX cheetah you still holding you took you belongings 😀
    Type here...
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          The Macroeconomic Effects of Liquidity Supply During Financial Crises

          CEPR

          Economic

          Summary:

          This column introduces the notion of pessimism in a real business cycle model. The possibility of waves of pessimism generates countercyclical demand from banks for liquid assets, such as bank reserves.

          Banks’ funding inflows and outflows can be volatile. They therefore keep a buffer of liquid assets, including bank reserves, on their balance sheets to ensure they can cope with high outflows without having to either borrow at an expensive interest rate (Bianchi and Bigio 2022) or sell illiquid assets (Drechsler et al. 2018). But can we think of episodes such as the global financial crisis as being the result of unluckily high funding outflows hitting banks?
          In a recent paper (Porcellacchia and Sheedy 2024), we model the source of volatility in bank funding. To do so, we adopt the viewpoint of a literature started by Diamond and Dybvig (1983): banks are vulnerable to waves of pessimism that might trigger a bank run. Pessimism about banks is self-fulfilling because it reduces their access to funding, forcing them to sell illiquid assets at a loss. This, in turn, confirms investors’ pessimistic expectations about banks’ financial performance. The possibility of self-fulfilling pessimism poses a coordination problem for investors in bank assets. But what is it that makes investors coordinate on pessimism?
          Goldstein and Pauzner (2005) show that, under a minor deviation from perfect information, banks’ balance sheet fundamentals determine the likelihood of pessimism arising. This is the approach we take to the coordination problem. We find that pessimism is more likely to hit banks with small liquidity buffers because they are more fragile, so a small number of pessimistic investors is enough to force such a bank to sell illiquid assets and start the vicious cycle of self-fulfilling pessimism. To guard against this, banks increase their demand for liquid assets to reduce their fragility and stem waves of pessimism.

          The mechanics of pessimism

          Adverse economic shocks are a driver of waves of pessimism in the model. This is because banks’ net worth – the difference between the value of their assets and debt liabilities – plays a similar role to their liquidity buffers in determining fragility, and banks’ net worth is highly exposed to the performance of the economy. In other words, banks with low net worth are more likely to be caught in a wave of pessimism, and in bad times banks make losses that reduce their net worth. This is in line with a common narrative about the events that unfolded during the global financial crisis: banks began finding it hard to obtain funding after an unexpected collapse in house prices that reduced their net worth.
          An increase in the likelihood of pessimism raises banks’ funding costs and hence amplifies the macroeconomic effects of shocks to the economy. Investment in the economy is crucially dependent on bank credit. If banks are starved of funds as a result of pessimism, they supply less credit and so investment takes a hit. Quantitatively, pessimism increases the effect on economic output of a shock to the value of bank assets by about one-third on impact. Pessimism also makes the effects of shocks last longer. This propagation of shocks through time is due to the negative impact of more expensive funding on banks’ return on equity. With a low return on equity, it takes a long time for banks to build their net worth back up.
          In the model, banks respond to adverse economic shocks by increasing their demand for liquid assets in an attempt to reduce their fragility and thereby stem pessimism. Unless the supply of liquid assets is perfectly elastic, this behaviour means that the prices of liquid assets increase in bad times. Evidence for this behaviour is provided in the left panel of Figure 1, which plots interest rate spreads during the global financial crisis. In this period both the funding spread, which measures funding costs for banks, and the liquidity premium, which measures the cost of holding liquid assets, were very high. The right panel shows that expensive bank funding is generally associated with expensive liquidity, suggesting that this mechanism operates broadly, not just in financial crises.
          The Macroeconomic Effects of Liquidity Supply During Financial Crises_1

          Liquidity policy

          The role of policy in the model is to supply liquid assets, such as bank reserves. So we can use our framework to analyse the macroeconomic effects of liquidity policy. We find that an expansion in the supply of liquid assets is beneficial in the short run because it boosts banks’ liquidity buffers. This makes pessimism less likely and thereby reduces the cost of funding for banks. Lower funding costs are passed through in the form of lower bank lending rates, thus increasing investment and GDP. Figure 2 shows the effects of a persistent increase in the supply of liquid assets that reduces the liquidity premium by 15 basis points on impact and is slowly unwound over time. On impact, the funding spread is reduced by 30 basis points, leading to an increase in investment of about 2%.
          The Macroeconomic Effects of Liquidity Supply During Financial Crises_2
          We provide empirical evidence for the effectiveness of liquidity policy by studying the causal effect of the liquidity premium on banks’ funding spread. The positive correlation between the liquidity premium and the funding spread in the right panel of Figure 1 is not evidence of causality because the liquidity premium is not an independent random variable. To deal with this endogeneity problem, we use data on US Treasuries, a key liquid asset. Crucially, US Treasuries are issued after their auction with a lag of a few days. Hence, their outstanding quantity is predetermined at daily frequency and cannot possibly react either to the funding spread or to other drivers of the funding spread. With this in mind, we use the stock of outstanding US Treasuries as an instrument for the liquidity premium, essentially narrowing our focus to daily variation in the liquidity premium induced by changes in the outstanding stock of US Treasuries. And we find a significant positive effect, suggesting that the liquidity premium is indeed a causal driver of banks’ funding costs.
          The model implies that it is beneficial to supply public liquidity, such as bank reserves, elastically. When an adverse shock hits the economy, banks come under stress. Their demand for liquid assets increases, thereby pushing up the liquidity premium. By supplying extra bank reserves in response to this, the central bank can contribute to the stabilisation of the economy.

          Conclusion

          An important literature in finance formalises the idea that banks are exposed to the risk of bank runs. We take the methods described in the literature and adapt them so that bank runs can be integrated into a standard model used to study business cycles. This allows us to study the role of run risk in amplifying and propagating the business cycle and the role of policy in dampening it.
          In this column, we focus on liquidity policy, but there are more dimensions of policy that we can study with our framework. The discount window, through which the central bank acts as the lender of last resort, and deposit insurance are important policies for financial stability and we analyse the effects of these in the paper.
          To stay updated on all economic events of today, please check out our Economic calendar
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