Latest news with #MPT
The Star
20 hours ago
- Politics
- The Star
Bersatu proposes united opposition front
PETALING JAYA: Bersatu is proposing the formation of a united opposition front involving parties outside the government bloc to coordinate a joint stand on matters affecting the people. According to party secretary-general Datuk Seri Mohamed Azmin Ali, the proposal was put forward during the party's supreme leadership council (MPT) meeting and will be discussed at the Perikatan Nasional presidential council meeting later this weekend. He said that the party leaders have also agreed to have party president Tan Sri Muhyiddin Yassin lead the efforts to initiate this collaboration. Azmin added that Muhyiddin had also instructed Bersatu leaders to intensify groundwork in key constituencies ahead of the Sabah state election. "The MPT is confident that the people of Sabah are receptive to and support the struggle of Bersatu and Perikatan Nasional," he said in a statement on Tuesday (July 15). The council also confirmed the party's annual general assembly will take place on Sept 6–7 in Shah Alam, Selangor, with a ninth-anniversary dinner to be held on the final night, expected to host over 2,000 guests. Azmin said the council had also approved the launch of the Infaq Bersatu fundraising programme, inviting contributions from the public to support its pro-rakyat agenda. Additionally, he said that Bersatu would mobilise its leaders and supporters for the "Himpunan Turun Anwar" rally at Dataran Merdeka on July 26, scheduled to begin at 2pm. "This peaceful gathering aims to defend the Constitution and the rule of law, and to stand against oppression," said Azmin.
Yahoo
6 days ago
- Business
- Yahoo
Medical Properties Stock Gains 14% in 6 Months: Will the Trend Last?
Shares of Medical Properties Trust MPW — also known as MPT — have gained 14% in the past six months, outperforming the industry's growth of 9.8%. This healthcare real estate investment trust (REIT), carrying a Zacks Rank #3 (Hold), is engaged in acquiring and developing net-leased healthcare facilities. Its properties consist of general acute care hospitals, behavioral health facilities, post-acute care facilities, freestanding ER/urgent care facilities and other assets. Image Source: Zacks Investment Research Let us decipher the possible factors behind the surge in the stock price. The senior citizens' population is expected to rise in the years ahead. As a result, the national healthcare expenditure by senior citizens, who constitute a major customer base of healthcare services and incur higher healthcare expenditures than the average population, will likely increase in the upcoming period. Moreover, the healthcare sector is relatively immune to the macroeconomic problems faced by office, retail and apartment companies and offers stability to the company amid volatility in the market. This is because even amid tough economic conditions, consumers need to spend on healthcare services while curtailing discretionary purchases. Medical Properties leases facilities to healthcare operating companies. These facilities generally have initial fixed lease terms of at least 15 years, with most including five-year renewal options. More than 99% of its leases provide annual rent escalations based on increases in the Consumer Price Index. Strategic sell-outs provide the company with the dry powder to reinvest in opportunistic developments and redevelopments. In the first quarter of 2025, MPT sold two facilities and an ancillary facility for approximately $20 million, resulting in a gain on real estate of $8.1 million. Medical Properties has been making efforts to enhance its liquidity position and financial strength. As of May 7, 2025, the company had approximately $1.3 billion of liquidity. After the February 2025 refinancing transactions, the company has no debt maturities coming due in the next twelve months. Its access to diverse capital sources through capital recycling and internal cash flow provides ample financial flexibility and is likely to support its growth endeavors. With the factors mentioned above, the positive trend in the stock is expected to continue in the near term. Operator concentration risk, potential tenant bankruptcies and substantial debt burden remain concerns for Medical Properties. Any further reduction in dividend payouts will likely decrease shareholder value. Some better-ranked stocks from the broader REIT sector include SBA Communications SBAC and Omega Healthcare Investors OHI, each carrying a Zacks Rank #2 (Buy) at present. You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here. The Zacks Consensus Estimate for SBAC's 2025 FFO per share has moved 3 cents northward to $12.74 over the past two months. The Zacks Consensus Estimate for OHI's 2025 FFO per share has moved a cent northward to $3.03 over the past week. Note: Anything related to earnings presented in this write-up represents funds from operations (FFO), a widely used metric to gauge the performance of REITs. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report SBA Communications Corporation (SBAC) : Free Stock Analysis Report Omega Healthcare Investors, Inc. (OHI) : Free Stock Analysis Report Medical Properties Trust, Inc. (MPW) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research
Business Insider
08-07-2025
- Automotive
- Business Insider
BYD Stock (BYDDY) Reverses Despite Brazil Factory Boost
Shares in Chinese car maker BYD (BYDDY) reversed today despite revealing that it had the checkered flag to start producing electric vehicles in Brazil. Don't Miss TipRanks' Half-Year Sale Take advantage of TipRanks Premium at 50% off! Unlock powerful investing tools, advanced data, and expert analyst insights to help you invest with confidence. Make smarter investment decisions with TipRanks' Smart Investor Picks, delivered to your inbox every week. Brazilian Goals BYD said it was ready to begin manufacturing at its new factory in Bahia state as early as this month, cutting its reliance on imports at a time of huge tariff uncertainty in the BRICS nations. Although final regulatory approvals are still pending, Alexandre Baldy, senior vice president for BYD in Brazil, said the goal is to assemble 50,000 cars this year at the plant from imported kits. 'We should inaugurate in the coming days,' Baldy said. 'We've already completed this year's imports, taking advantage of the period before the import tax increase that took effect on July 1.' Baldy said it would begin full production in July 2026, after assembling vehicles from 'complete knock down' (CKD) kits for the next 12 months. Once fully operational, he said, the complex is likely to generate up to 20,000 direct and indirect jobs. BYD had sent a surge of finished cars into Brazil this year to take advantage of temporarily lower tariffs, shipping some 22,000 from China in the first five months, according to Reuters. Factory Struggles Brazilian car manufacturers were left spluttering, concerned about what it means for domestic sales and jobs. The factory itself has come under fire in recent months. Earlier this year the Public Labor Prosecutor's Office (MPT) in the state of Bahia said it was suing BYD and two of its contractors, accusing them of human trafficking and creating conditions 'analogous to slavery' at a factory construction site. The MPT said it had rescued 220 Chinese workers after receiving an anonymous complaint. It is now seeking $45.5 million in damages from the three firms. BYD has said that it respects human dignity in all of its operations. Despite the furor, BYD's goal of seeking to dominate overseas markets is likely to continue. It has a target to sell half of its vehicles outside the Chinese market by 2030 in response to an increasingly competitive EV market both at home and abroad. What are the Best EV Stocks to Buy Now?
Miami Herald
26-06-2025
- Business
- Miami Herald
AstraBit Offers Markowitz-Based Portfolio Optimization for Algorithmic Crypto Strategy Allocation
NEW YORK CITY, NY / ACCESS Newswire / June 26, 2025 / AstraBit has integrated a portfolio optimization engine grounded in Markowitz's Modern Portfolio Theory (MPT) and Post-Modern Portfolio Theory (PMPT), enabling users to apply institutional-grade allocation models to digital asset trading strategies. This feature provides information on systematic portfolio construction, based on features that include, but are not limited to, expected return, volatility, downside deviation, CAPM, and inter-strategy correlation, helping users better understand risk and potentially achieve more efficient risk-adjusted outcomes in their digital asset investing The integration of this framework brings quantitative asset allocation methods, long used by institutional and other sophisticated money managers, into the realm of algorithmic trading for digital assets. Through AstraBit, users can analyze their manual trading and automated algorithmic trading to better allocate capital across their total portfolio, using objective, model-driven weightings derived from historical data, as well as deep statistical and mathematical concepts. "AstraBit's implementation of MPT can help our members move beyond equal weighting or subjective allocation," said Nicholas Bentivoglio, CEO and Co-Founder at AstraBit. "AstraBit Portfolio aims to provide a risk-adjusted structure for users, working closely with their licensed financial professional, to allocate across diverse strategies and assets, based on actual performance relationships rather than intuition or static rules." Institutional Theory, Adapted for Crypto Modern Portfolio Theory, developed by economist Harry Markowitz, is a foundational principle in traditional finance for optimizing asset allocation. The theory provides a method for identifying the most efficient portfolio by balancing the expected return of each asset against its contribution to overall portfolio risk. AstraBit has adapted this model to evaluate digital assets and algorithmic trading strategies in the crypto market, treating each as a return-generating asset class. The optimization engine calculates many components including, but not limited to expected return, variance, and covariance between assets, strategies, and even market indexes like the S&P 500 and the Astra100 Index. Based on this data, it calculates the capital weights that will result in things like the highest Sharpe or Sortino ratio, the lowest overall volatility, lowest downside deviation, etc., or a custom risk profile defined by the user. This approach can help users reduce overexposure to individual strategies and assets and introduces a quantitative discipline to bot portfolio construction. Built for Practical Execution The engine's functionality is designed to integrate directly with AstraBit's existing products and services. Users can select from strategies available on the platform, define constraints, and allow the engine to generate model-based allocations. These weightings can be implemented directly through the user's connected exchange accounts. Key features include: Portfolio optimization based on historical return and risk metricsCorrelation analysis across automated and manual trading strategiesAutomated allocation and rebalancing recommendationsCompatibility with both centralized and decentralized exchanges Unlike conventional applications of MPT that assume static asset classes, AstraBit's model incorporates variables specific to crypto trading. This includes the effect of exchange fees, slippage, bot behavior under different market regimes, and liquidity limitations across trading venues. Enhancing Strategy Transparency and User Control The availability of a quantitative allocation engine introduces an added layer of transparency for AstraBit users. Instead of allocating capital equally or based on perceived performance, traders can now make informed decisions grounded in statistical relationships between strategies. This is especially relevant in volatile or uncertain markets, where correlation clustering can lead to unintended concentration risks. The tool benefits both discretionary and automated traders, including users of AstraBit's copy trading system and those building portfolios from the marketplace of available bots. In addition to automated strategies, AstraBit enables comprehensive analysis of manual trades executed through connected exchanges. By integrating manual and algorithmic trading data into a single analytics view, users gain a holistic understanding of their entire portfolio performance. This unified perspective allows users to collaborate more effectively with licensed financial advisors to determine optimal strategy and asset allocations that align with their personal risk tolerance and return expectations. Future Development AstraBit is actively enhancing the optimization engine with additional layers of analytics, including forward-looking volatility modeling and integration of macroeconomic signals. There are also plans to support portfolio models that incorporate staking and yield-generating DeFi positions, broadening the use case beyond trading alone. The Markowitz Strategy Engine is currently live and accessible via AstraBit's Portfolio Management interface. About AstraBit AstraBit is a U.S.-based, veteran-owned platform for automated crypto trading, DeFi staking, and portfolio management. It enables users to trade smarter using no-code bots, real-time analytics, multi-exchange connectivity, and a marketplace of expert strategies. AstraBit serves beginners, professionals, and institutions by delivering tools that prioritize transparency, control, and informed decision-making. DISCLOSURE: AstraBit Portfolio and the Astra100X Index are informational tools designed to help users analyze digital asset portfolios and staking activity. They do not provide financial, investment, or tax advice, and outputs such as return estimates, volatility, or optimal allocations are hypothetical and not guaranteed. These tools rely on historical data and assumptions that may not reflect future market conditions. Past performance is not indicative of future results. All decisions related to trading, staking, and portfolio settings are the sole responsibility of the user. Digital assets are highly speculative and may involve significant risk of loss. Users should consult a licensed financial and tax advisor before making any investment decisions. AstraBit makes no guarantees of profit or performance. Media Contact:Cam PauldingChief Marketing Officer, AstraBitmarketing@ SOURCE: AstraBit
Associated Press
26-06-2025
- Business
- Associated Press
AstraBit Offers Markowitz-Based Portfolio Optimization for Algorithmic Crypto Strategy Allocation
NEW YORK CITY, NY / ACCESS Newswire / June 26, 2025 / AstraBit has integrated a portfolio optimization engine grounded in Markowitz's Modern Portfolio Theory (MPT) and Post-Modern Portfolio Theory (PMPT), enabling users to apply institutional-grade allocation models to digital asset trading strategies. This feature provides information on systematic portfolio construction, based on features that include, but are not limited to, expected return, volatility, downside deviation, CAPM, and inter-strategy correlation, helping users better understand risk and potentially achieve more efficient risk-adjusted outcomes in their digital asset investing The integration of this framework brings quantitative asset allocation methods, long used by institutional and other sophisticated money managers, into the realm of algorithmic trading for digital assets. Through AstraBit, users can analyze their manual trading and automated algorithmic trading to better allocate capital across their total portfolio, using objective, model-driven weightings derived from historical data, as well as deep statistical and mathematical concepts. 'AstraBit's implementation of MPT can help our members move beyond equal weighting or subjective allocation,' said Nicholas Bentivoglio, CEO and Co-Founder at AstraBit. 'AstraBit Portfolio aims to provide a risk-adjusted structure for users, working closely with their licensed financial professional, to allocate across diverse strategies and assets, based on actual performance relationships rather than intuition or static rules.' Institutional Theory, Adapted for Crypto Modern Portfolio Theory, developed by economist Harry Markowitz, is a foundational principle in traditional finance for optimizing asset allocation. The theory provides a method for identifying the most efficient portfolio by balancing the expected return of each asset against its contribution to overall portfolio risk. AstraBit has adapted this model to evaluate digital assets and algorithmic trading strategies in the crypto market, treating each as a return-generating asset class. The optimization engine calculates many components including, but not limited to expected return, variance, and covariance between assets, strategies, and even market indexes like the S&P 500 and the Astra100 Index. Based on this data, it calculates the capital weights that will result in things like the highest Sharpe or Sortino ratio, the lowest overall volatility, lowest downside deviation, etc., or a custom risk profile defined by the user. This approach can help users reduce overexposure to individual strategies and assets and introduces a quantitative discipline to bot portfolio construction. Built for Practical Execution The engine's functionality is designed to integrate directly with AstraBit's existing products and services. Users can select from strategies available on the platform, define constraints, and allow the engine to generate model-based allocations. These weightings can be implemented directly through the user's connected exchange accounts. Key features include: Unlike conventional applications of MPT that assume static asset classes, AstraBit's model incorporates variables specific to crypto trading. This includes the effect of exchange fees, slippage, bot behavior under different market regimes, and liquidity limitations across trading venues. Enhancing Strategy Transparency and User Control The availability of a quantitative allocation engine introduces an added layer of transparency for AstraBit users. Instead of allocating capital equally or based on perceived performance, traders can now make informed decisions grounded in statistical relationships between strategies. This is especially relevant in volatile or uncertain markets, where correlation clustering can lead to unintended concentration risks. The tool benefits both discretionary and automated traders, including users of AstraBit's copy trading system and those building portfolios from the marketplace of available bots. In addition to automated strategies, AstraBit enables comprehensive analysis of manual trades executed through connected exchanges. By integrating manual and algorithmic trading data into a single analytics view, users gain a holistic understanding of their entire portfolio performance. This unified perspective allows users to collaborate more effectively with licensed financial advisors to determine optimal strategy and asset allocations that align with their personal risk tolerance and return expectations. Future Development AstraBit is actively enhancing the optimization engine with additional layers of analytics, including forward-looking volatility modeling and integration of macroeconomic signals. There are also plans to support portfolio models that incorporate staking and yield-generating DeFi positions, broadening the use case beyond trading alone. The Markowitz Strategy Engine is currently live and accessible via AstraBit's Portfolio Management interface. About AstraBit AstraBit is a U.S.-based, veteran-owned platform for automated crypto trading, DeFi staking, and portfolio management. It enables users to trade smarter using no-code bots, real-time analytics, multi-exchange connectivity, and a marketplace of expert strategies. AstraBit serves beginners, professionals, and institutions by delivering tools that prioritize transparency, control, and informed decision-making. DISCLOSURE: AstraBit Portfolio and the Astra100X Index are informational tools designed to help users analyze digital asset portfolios and staking activity. They do not provide financial, investment, or tax advice, and outputs such as return estimates, volatility, or optimal allocations are hypothetical and not guaranteed. These tools rely on historical data and assumptions that may not reflect future market conditions. Past performance is not indicative of future results. All decisions related to trading, staking, and portfolio settings are the sole responsibility of the user. Digital assets are highly speculative and may involve significant risk of loss. Users should consult a licensed financial and tax advisor before making any investment decisions. AstraBit makes no guarantees of profit or performance. Media Contact: Cam Paulding Chief Marketing Officer, AstraBit [email protected] SOURCE: AstraBit press release
