To The Moon

$WaFd(WAFD)$'s agreement to combine with EverBank would create a regional lender with approximately $75 billion of assets and a footprint stretching from digital deposits to physical branches across the western United States. The projected earnings increase is attractive, but the transaction will ultimately be judged by funding stability, credit quality and tangible book value rather than scale alone. The companies announced the $3.9 billion reverse merger on September 7. EverBank will merge into publicly traded WaFd, which will adopt the EverBank Financial name and EVBK ticker. EverBank investors will own 59.2% of the combined company and existing WaFd shareholders will own 40.8%. Closing is expected in early 2027, subject to shareholder and regu

$Hapag-Llyod AG(HPGLY)$ is trying to preserve its proposed $4.2 billion acquisition of $ZIM Integrated Shipping Services Ltd.(ZIM)$ by changing the structure rather than merely increasing the price. The revisions address national-security objections, but they also demonstrate that the transaction's value cannot be assessed through the headline consideration alone. Reuters reported on September 7 that Hapag-Lloyd was preparing improvements to its proposal after opposition from Israeli officials and workers. The revised concept would place an Israeli-controlled company, backed by FIMI, around a 16-vessel operation intended to preserve strategic shipping links. It would also lower the permitted foreign-owner

$Alphabet(GOOG)$ and $Cathay Pacific Airways, Ltd.(CPCAF)$ are expanding trials that use artificial intelligence to help pilots avoid atmospheric conditions that produce heat-trapping contrails. The project demonstrates a practical application of Google's forecasting technology, but investors should not confuse environmental usefulness with a material earnings contribution. The companies announced the expanded collaboration on September 7. The system combines weather, satellite and flight information to recommend route or altitude adjustments intended to reduce persistent contrails. Reuters' September 7 report describes the expansion as a trial rather than a commercial industrywide deployment. The bullis

Private-credit portfolios appeared to stabilize in the second quarter, but loans that stopped producing interest continued to rise. That divergence matters for business-development companies because a modest valuation markdown can look manageable while the underlying cash income deteriorates more sharply. Reuters reported on September 2 that the aggregate fair-value-to-cost ratio across reviewed US private-credit portfolios fell 168 basis points over six months to 97.57%. Non-accrual investments increased to approximately 3.4% of portfolio cost from 2.5%, with much of the markdown concentrated among a relatively small group of borrowers, including software companies. Reuters' private-credit analysis distinguishes broad portfolio marks from loans no longer paying interest. The bullish case

Friday gave us one of those market sessions that looks strange until you ask a different question. The major US indexes fell. Treasury yields rose after August payrolls came in far stronger than expected. Rate-hike expectations increased. Growth stocks should have hated that setup. Yet one corner of the market went in completely the opposite direction. Memory and storage exploded higher. SanDisk jumped around 12%. Micron gained 6.1%. Western Digital rose nearly 6%. Seagate also rallied. The semiconductor index climbed more than 3% despite weakness across the broader market. Then Asia opened and the move continued. SK Hynix surged roughly 8%. Samsung Electronics climbed nearly 6%. South Korea’s Kospi jumped 4.6%. At first glance, this looks like another AI rally. I think something more inte

Memory stocks are surging while the broader market struggles. The obvious explanation is simple: AI demand is strong. HBM is scarce. Memory prices are rising. Micron, SK Hynix and Samsung benefit. I think that explanation stops one level too early. Because something much larger is happening underneath the memory rally. AI data centres are not simply creating another source of semiconductor demand. They are competing with the rest of the technology industry for a limited manufacturing resource. And increasingly, the rest of technology is losing. The result could change much more than memory-company earnings. It could change how much laptops cost. How much RAM goes into smartphones. Which consumer brands survive. How quickly people replace devices. Whether affordable phones can run AI locall