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US equity funds see hefty outflows on Israel-Iran conflict
US equity funds see hefty outflows on Israel-Iran conflict

Yahoo

time36 minutes ago

  • Business
  • Yahoo

US equity funds see hefty outflows on Israel-Iran conflict

(Reuters) -U.S. equity funds logged the largest weekly outflow in three months in the week through June 18 as intensifying Israel-Iran tensions and persistent concerns over the economic impact of elevated U.S. tariffs drove investors to reduce risk exposure. According to LSEG Lipper data, investors exited U.S. equity funds of $18.43 billion during the week, posting the largest weekly net figure since March 19. As a week-old air war between Israel and Iran intensified, the White House on Thursday said President Donald Trump will decide in the next two weeks whether the U.S. will get involved in the war. Investors ditched a robust $19.38 billion worth of large-cap equity funds - the largest weekly net figure since March 19. The small-cap and mid-cap segments also witnessed approximately $2.4 billion and $1.5 billion worth of net withdrawals. U.S. sectoral funds, however, were popular for a fourth straight week, drawing in roughly $855 million in net inflows. The tech and industrial sectors secured a noteworthy $1.85 billion and $445 million, respectively, in net purchases, while the financial sector lost a significant $1.22 billion in net selling. U.S. bond fund inflows, meanwhile, dropped to a seven-week low of $2.79 billion during the week. The short-to-intermediate investment-grade funds, and short-to-intermediate government and treasury funds segments received just $642 million and $616 million, respectively, compared with approximately $2.37 billion and $1.02 billion worth of weekly net purchases in the prior week. Demand for mortgage funds was, however, at a five-week high as these funds attracted weekly net inflows of $566 million. Money market funds were meanwhile out of luck for a second successive week with weekly disposals worth a net of $7.75 billion. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Why Recessions Aren't What They Used to Be
Why Recessions Aren't What They Used to Be

Bloomberg

time2 hours ago

  • Business
  • Bloomberg

Why Recessions Aren't What They Used to Be

Subscribe to Merryn Talks Money on Apple Podcasts Subscribe to Merryn Talks Money on Spotify In a US economy based on intangibles and the seemingly constant stimulus of government spending, downturns are both less common and more shallow than they used to be. This according to Vincent Deluard, director of global macro strategy at StoneX, who joins this week's Merryn Talks Money to explain his thesis. If correct, it's one that has implications for the market. If a deep recession in the US isn't likely—and assuming that everyone understands that—it becomes hard to see market corrections being as brutal as they would have been in the past.

Time Is Not Your Friend: Asking Price Decay In Real Estate
Time Is Not Your Friend: Asking Price Decay In Real Estate

Forbes

time4 days ago

  • Business
  • Forbes

Time Is Not Your Friend: Asking Price Decay In Real Estate

The asking price may be set by the seller, but its decay is enforced by the market. Buyers apply ... More pressure, urgency fades, and expectations bend. In every deal, sellers optimize for two variables: price and time. In the real world, however, those variables are deeply entangled. Time on the market isn't free. It imposes a discount. And, like in finance, where holding an asset too long incurs costs, holding a listing introduces risk. We quantified that risk by tracking how asking prices deteriorate as listings age. The result is a measure of what we call asking price decay. It's a concept that mirrors the financial world, where traders account for 'theta,' which is the loss of value in an option as time passes. In real estate, time on market is a similar drag on listing prices. The longer a home sits unsold, the more likely it is to be discounted, often sharply. We analyzed the Manhattan and Brooklyn markets at biweekly intervals across 20+ years. The resulting curve shows the median discount from the original asking price as a function of time on market over the course of a typical six-month exclusive listing contract. Asking Price Decay Over Time In Manhattan And Brooklyn This curve plays out almost regardless of macro environment, seasonality, or demand shifts. Essentially, the market begins penalizing listings as soon as they exceed the two-to-four-week threshold. Buyers read time as weakness. The implication is that overpricing and failing to get traction early means more than just a longer time to sell; it means a lower selling price overall. Not all markets decay at the same pace. When we split the data by market regime (hot vs. cold), the differences become clear. In hot markets (such as 2015), the curve is flatter, and listings can sit for 30 to 45 days with minimal discounting as buyers compete at prices close to the ask and sellers retain pricing leverage longer. In weak markets (such as 2009), the curve is steeper and discounts appear quickly. Sellers who don't reprice early see any leverage they may have had evaporate. Today's market is neither hot nor cold, so the present asking price decay curve likely resembles the overall average. Asking Price Decay In Manhattan and Brooklyn, 2009 vs. 2015 This is a familiar pattern in any market: when liquidity is strong, prices hold up. When liquidity evaporates, spreads widen, and discounts deepen. Does property type (condo, coop, or townhouse) meaningfully affect the decay curve? While intuitively, it might be expected to, since coops, condos, and townhouses vary widely in buyer profile, price point, and closing complexity, the data suggests a more nuanced story. For apartments, the decay curve is remarkably consistent in shape, which suggests the phenomenon is more about market liquidity. Coops and condos show flatter, more stable curves, reflecting a larger pool of buyers and a more liquid market structure. Townhouses, however, which are generally higher-priced, lower-turnover assets, experience steeper declines in pricing power over time. For example, by day 70, Manhattan condos retain almost 97% of their original asking price, while Manhattan townhouses have already slipped to 92%. After 180 days, at the end of the listing agreement, the gap widens even more, with condos holding around 91%, while townhouses fall to 83%. Asking Price Decay at Condos, Co-ops, and Townhouses In Manhattan and Brooklyn Here's how to use this curve: 1. Act Fast or Reprice Fast The window to make a full-price sale is tight. Listings that don't catch a bid in the first 30–45 days should consider a tactical price reset to avoid the long tail of discounting. The market has spoken. 2. Watch the Curve for Regime Change A flattening decay curve suggests improving liquidity and can be seen as a bullish signal, which is good to sell into. On the other hand, a steepening curve suggests buyers are reasserting their power, which is a bearish signal for sellers as it implies a slowing market. 3. Use the Curve to Predict Market Health Think of it as a sentiment index. Fast decay = fear and thin demand. Slow decay = conviction and competition. The asking price may be set by the seller, but its decay is enforced by the market. Buyers apply pressure, urgency fades, and expectations bend. Thinking like a trader makes the message clear: the market doesn't pay premiums for long. Time taxes them away by applying downward pressure, week by week. Luckily, this tax is not evenly levied across all properties. The biggest time tax is evident in less liquid segments, such as Manhattan townhouses. Meanwhile, more fluid markets, such as Brooklyn condos or coops, tend to retain pricing power for longer. In the end, asking price decay, like any tax, hits hardest where there's the least flexibility. As the Manhattan and Brooklyn markets transition into the seasonally slower summer months, understanding the impact of time on prices is paramount. For sellers, the lesson is clear: price realistically and move quickly. In real estate, time is not your friend.

Asia Morning Briefing: Institutional Buying Makes $3K ETH Likely, While AI Agents Seek Crypto Rails
Asia Morning Briefing: Institutional Buying Makes $3K ETH Likely, While AI Agents Seek Crypto Rails

Yahoo

time12-06-2025

  • Business
  • Yahoo

Asia Morning Briefing: Institutional Buying Makes $3K ETH Likely, While AI Agents Seek Crypto Rails

Welcome to Asia Morning Briefing, a daily summary of top stories during U.S. hours and an overview of market moves and analysis. For a detailed overview of U.S. markets, see CoinDesk's Crypto Daybook Americas. As Asia begins its Thursday business day, ETH is trading at $2,770. ETH is up almost 11% this month, according to CoinDesk market data, outperforming BTC, which rose 5%. Part of this could be because of institutional trading demand, and the fact that it's overtaken BTC in derivatives markets as sophisticated investors increasingly bet on ETH's structural growth and role as a gateway between decentralized finance (DeFi) and traditional finance (TradFi), OKX Chief Commercial Officer Lennix Lai told CoinDesk in an interview. "Ethereum is overshadowing BTC on our perpetual futures market, with ETH accounting for 45.2% of trading volume over the past week. BTC, by comparison, sits at 38.1%," Lai said. This is a similar finding to what's occurring on Derebit, CoinDesk recently reported. That's not to say that institutions have taken a disinterest in BTC. Far from it. A recent report from Glassnode shows that despite BTC's recent volatility, institutions are happily buying up the dips. Long-term holders (LTHs) realized over $930 million in profits per day during recent rallies, Glassnode wrote, rivaling distribution levels seen at previous cycle peaks. Yet, instead of triggering a cascade of selling, the LTH supply actually grew. 'This dynamic highlights that maturation and accumulation pressures are outweighing distribution behavior,' Glassnode analysts wrote, noting that this is 'highly atypical for late-stage bull markets.' Neither, however, are immune to geopolitical risk or black swan events like the Trump-Musk blowout. These episodes serve as reminders that sentiment can shift quickly, even in structurally strong markets. But beneath the surface-level volatility, institutional conviction remains intact. ETH is emerging as the vehicle of choice for accessing regulated DeFi, while BTC continues to benefit from long-term accumulation by institutions via ETFs. "Macro uncertainties remain, but $3,000 ETH looks increasingly likely,' Lai concluded. The stablecoin market just hit an all-time high of $228 billion, up 17% year-to-date, according to a new CryptoQuant report. That surge in dollar-pegged liquidity, driven by renewed investor confidence showcased by the blockbuster Circle IPO, rising DeFi yields, and improving U.S. regulatory clarity, is quietly redrawing the map of where capital lives on-chain. "The amount of stablecoins on centralized exchanges has also reached record high levels, supporting crypto trading liquidity," CryptoQuant reported. CryptoQuant noted that the total value of ERC20 stablecoins on centralized exchanges has climbed to a record $50 billion. Most of this growth in exchange stablecoin reserves has been a result of the increase in USDC reserves on exchanges, per their data, which have grown by 1.6x so far in 2025 to $8 billion. As far as protocols that have been a net beneficiary of all of this, Tron leads the pack. Tron's blend of fast finality and deep integrations with stablecoin issuers like Tether is credited with making it a liquidity magnet Presto Research, which recently released a similarly themed report, wrote that it notched over $6 billion in net stablecoin inflows in May, topping all other chains and posting the second-highest number of daily active users behind Solana and was the top performer in native total value locked (TVL) growth. By contrast, Ethereum and Solana bled capital, Presto's data said. Both chains experienced significant stablecoin outflows and bridge volume losses, indicating a lack of new yield opportunities or major protocol upgrades. Presto's data confirms a broader trend: institutional and retail capital alike are rotating toward Base, Solana, and Tron. The commonality? These chains offer faster execution, more dynamic ecosystems, and in some cases, bigger incentive programs The next generation of AI won't just talk to us, it'll talk to itself. As autonomous agents grow more capable, they'll increasingly handle tasks end-to-end: booking flights, sourcing data, even commissioning other bots to complete subtasks. But there's a problem: right now, these AI agents are trapped in silos and they need crypto to get them out. In a recent a16z Crypto essay, Scott Duke Kominers, a Research Partner at a16z Crypto and a Faculty Affiliate at Harvard, argues that today's agent-to-agent interactions are mostly hardcoded API calls or internal features within closed ecosystems. There's no shared infrastructure for agents to find each other, collaborate, or transact across systems. That's where crypto comes in. Blockchains, with their open, composable architectures, offer a 'forwards-compatible' way to build interoperable agent economies, a neutral substrate that can evolve alongside AI itself. Early projects like Halliday are building protocol-level standards for cross-agent workflows, while firms like Catena and Skyfire are using crypto to enable autonomous agents to pay each other without a human being needed. Coinbase has even stepped in to support infrastructure efforts here. If these rails take hold, blockchains won't just be financial infrastructure; they'll be the back-end of an open AI economy, where agents transact, coordinate, and enforce user intent transparently. The message is clear: if AI agents are the future of productivity, crypto is the infrastructure that makes them play nice. Gaming maintains its lead as the dominant category in the distributed app (dAPP) ecosystem, even as its market share continues to slip, according to a new report from DappRadar. The latest data from DappRadar shows gaming's dominance fell for the second consecutive month, from 21% in April to 19.4% in May. Daily user activity remains relatively stable, hovering around 4.9 million unique active wallets, yet the sharp decline in investment paints a more troubling picture: venture funding for gaming projects plummeted to just $9 million in May, down sharply from over $220 million monthly at the end of 2024. "2025 so far, has been a reality check for the gaming market. Various projects that raised millions in the previous years, have now closed shop. Among them, the hero shooter Nyan Heroes, the fantasy MMORPG Ember Sword, and social deduction game The Mystery Society," DappRadar analysts wrote in their report. DappRadar analysts point to a fundamental flaw driving this exodus: a lack of engaging gameplay. Projects frequently prioritized tokenomics, speculative NFT launches, and marketing blitzes, often sidelining critical gameplay testing and development. Without fun and replayable mechanics at their core, even heavily funded Web3 games have struggled to maintain player interest, suggesting that the industry's biggest challenge might simply be learning how to build great games. And this narrative is nothing new: surveys have been saying this since 2022. BTC: Bitcoin slid 2% after failing to hold the $110K level, with price testing key support at $108.5K amid rising geopolitical tensions and mixed sentiment, though strong institutional inflows via spot ETFs suggest underlying demand remains intact. ETH: ETH jumped 5% to break past $2,800 as $815M in institutional inflows poured into ETH ETFs, driven by bullish technicals, record staking levels, and fresh SEC guidance clarifying staking and wallet software fall outside securities laws Gold: Gold rose 0.97% to $3,363 after U.S. inflation data showed cooling prices, boosting expectations that the Fed could resume rate cuts in September. Nikkei 225: Tokyo stocks opened mixed Thursday, as a stronger yen weighed on exporters while optimism over a potential U.S.-Japan trade deal supported buying, with the Nikkei down 0.22% in early trading. S&P 500: Tokyo stocks opened mixed Thursday, as a stronger yen weighed on exporters while optimism over a potential U.S.-Japan trade deal supported buying, with the Nikkei down 0.22% in early trading. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

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