Sunday, May 18, 2025

Crypto’s Second Act: The Quiet Rise of Exchange Traded Notes

Just three years ago, spot Bitcoin ETFs were hailed as crypto’s final gateway into mainstream finance. And for a brief moment, they looked like they would truly revolutionise investing. After a flurry of approvals and billions of institutional dollars flowing in, many on Wall Street assumed the ETF era was upon us. ETFs gave institutions a straightforward method of gaining exposure to Bitcoin Bitcoin and Ethereum Ethereum without grappling with private keys and custody complications…….Continue reading….

By: Bundeep Singh Rangar

Source: Crypto News

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Critics:

ETFs are similar in many ways to mutual funds, except that ETFs are bought and sold from other owners throughout the day on stock exchanges, whereas mutual funds are bought and sold from the issuer based on their price at day’s end. ETFs are also more transparent since their holdings are generally published online daily and, in the United States, are more tax efficient than mutual funds.

Unlike mutual funds, ETFs trade on a stock exchange, can be sold short, can be purchased using funds borrowed from a stockbroker (margin), and can be purchase and sold using limit orders, with the buyer or seller aware of the price per share in advance. Both ETFs and mutual funds charge annual expense ratios that range from 0.02% of the investment value to upwards of 1% of the investment value.

Mutual funds generally have higher annual fees since they have higher marketing, distribution and accounting expenses (12b-1 fees). ETFs are also generally cheaper to operate since, unlike mutual funds, they do not have to buy and sell securities and maintain cash reserves to accommodate shareholder purchases and redemptions. Stockbrokers may charge different commissions, if any, for the purchase and sale of ETFs and mutual funds.

In addition, sales of ETFs in the United States are subject to transaction fees that the national securities exchanges must pay to the SEC under section 31 of the Securities Exchange Act of 1934, which, as of February 2023, is $8 per $1 million in transaction proceeds. Many mutual funds can be bought commission-free from the issuer, although some charge front-end or back-end loads, while ETFs do not have loads at all.

In the United States, ETFs can be more attractive tax-wise than mutual funds for transactions made in taxable accounts. However, there are no tax benefits to ETFs compared to mutual funds in the United Kingdom and Germany. In the US, whenever a mutual a capital gain that is not balanced by a realized loss (i.e. when the fund sells appreciated shares to meet investor redemptions), its shareholders who hold the fund in taxable accounts must pay capital gains taxes on their share of the gain.

However, ETF investors generally only realize capital gains when they sell their own shares for a gain.ETFs offered by Vanguard are actually a different share class of its mutual funds and do not stand on their own; however, they generally do not have any adverse tax issues. ETFs can be bought and sold at current market prices at any time during the trading day, unlike mutual funds, which can only be traded at the end of the trading day.

Also unlike mutual funds, investors can execute the same types of trades that they can with a stock, such as limit orders, which allow investors to specify the price points at which they are willing to trade, stop-loss orders, margin buying, hedging strategies, and there is no minimum investment requirement. ETFs can be traded frequently to hedge risk or implement market timing investment strategies, whereas many mutual funds have restrictions on frequent trading.

Options, including put options and call options, can be written or purchased on most ETFs – which is not possible with mutual funds, allowing investors to implement strategies such as covered calls on ETFs. There are also several ETFs that implement covered call strategies within the funds. Many mutual funds must be held in an account at the issuing firm, while ETFs can be traded via any stockbroker. Some stockbrokers do not allow for automatic recurring investments or trading fractional shares of ETFs, while these are allowed by all mutual fund issuers.

The most popular ETFs such as those tracking the S&P 500 trade tens of millions of shares per day and have strong market liquidity, while there are many ETFs that do not trade very often, and thus might be difficult to sell compared to more liquid ETFs. The most active ETFs are very liquid, with high regular trading volume and tight bid-ask spreads (the gap between buyer and seller’s prices), and the price thus fluctuates throughout the day. This is in contrast with mutual funds, where all purchases or sales on a given day are executed at the same price at the end of the trading day.

Issuers are required by regulators to publish the composition of their portfolios on their websites daily, or quarterly in the case of active non-transparent ETFs. ETFs are priced continuously throughout the trading day and therefore have price transparency. Most ETFs are index funds: that is, they track the performance of an index generally by holding the same securities in the same proportions as a certain stock market index, bond market index or other economic index.

Examples of large Index ETFs include the Vanguard Total Stock Market ETF (NYSE Arca: VTI), which tracks the CRSP U.S. Total Market Index, ETFs that track the S&P 500, which are issued by The Vanguard Group (VOO), iShares (IVV), and State Street Corporation (SPY), ETFs that track the NASDAQ-100 index (Nasdaq: QQQ), and the iShares Russell 2000 ETF (IWM), which tracks the Russell 2000 Index, entirely composed of companies with small market capitalizations.

Other funds track indices of a certain country or include only companies that are not based in the United States; for example, the Vanguard Total International Stock Index ETF (VXUS) tracks the MSCI All Country World ex USA Investable Market Index, the iShares MSCI EAFE Index ETF (EFA) tracks the MSCI EAFE Index, and the iShares MSCI Emerging Markets ETF (EEM) tracks the MSCI Emerging Markets index. Some ETFs track a specific type of company, such as the iShares Russell 1000 Growth ETF (IWF), which tracks the “growth” stocks in the Russell 1000 Index. 

State Street Corporation has issued ETFs that track the components of the S&P 500 in each industry: for example, the Technology Select Sector SPDR Fund (XLK) tracks the components of the S&P 500 that are in the technology industry and The Financial Select Sector SPDR Fund, which tracks the components of the S&P 500 that are in the financial industry. The iShares Select Dividend ETF replicates an index of high dividend paying stocks.

Other indexes on which ETFs are based focus on specific niche areas, such as sustainable energy or environmental, social and corporate governance. Most index ETFs invest 100% of their assets proportionately in the securities underlying an index, a manner of investing called replication.

Some index ETFs such as the Vanguard Total Stock Market Index Fund, which tracks the performance of thousands of underlying securities, use representative sampling, investing 80% to 95% of their assets in the securities of an underlying index and investing the remaining 5% to 20% of their assets in other holdings, such as futures, option and swap contracts, and securities not in the underlying index, that the fund’s adviser believes will help the ETF to achieve its investment objective.

Factor ETFs are index funds that use enhanced indexing, which combines active management with passive management in an attempt to beat the returns of an index. Factor ETFs tend to have slightly higher expense ratios and volatility than strictly passive index ETFs. Synthetic ETFs, which are common in Europe but rare in the United States, are a type of index ETF that does not own securities but tracks indexes using derivatives and swaps.

They have raised concern due to lack of transparency in products and increasing complexity; conflicts of interest; and lack of regulatory compliance. A synthetic ETF has counterparty risk, because the counterparty is contractually obligated to match the return on the index. The deal is arranged with collateral posted by the swap counterparty, which arguably could be of dubious quality. These types of set-ups are not allowed under the European guidelines, Undertakings for Collective Investment in Transferable Securities Directive 2009 (UCITS).

 Counterparty risk is also present where the ETF engages in securities lending or total return swaps. The difference between the performance of an index fund and the index itself is called the tracking error; this difference is usually negative, except during flash crashes and other periods of extreme market turbulence, for index funds that do not use full replication, and for indices that consist of illiquid assets such as high-yield debt.

Actively managed ETFs include active management, whereby the manager executes a specific trading strategy instead of replicating the performance of a stock market index. The securities held by such funds are posted on their websites daily, or quarterly in the cases of active non-transparent ETFs. The ETFs may then be at risk from people who might engage in front running since the portfolio reports can reveal the manager’s trading strategy. Some actively managed equity ETFs address this problem by trading only weekly or monthly.

The largest actively managed ETFs are the JPMorgan Equity Premium Income ETF (NYSE: JEPI), which charges 0.35% in annual fees, JPMorgan Ultra-Short Income ETF (NYSE: JPST), which charges 0.18% in annual fees, and the Pimco Enhanced Short Duration ETF (NYSE: MINT), which charges 0.36% in annual fees.

Thematic ETFs are ETFs, including both Index ETFs and actively managed ETFs, that focus on a theme such as disruptive technologies, climate change, shifting consumer behaviors, cloud computing, robotics, electric vehicles, the gig economy, e-commerce, or clean energy. Bond ETFs are exchange-traded funds that invest in bonds. Bond ETFs generally have much more market liquidity than individual bonds. Commodity ETFs invest in commodities such as precious metals, agricultural products, or hydrocarbons such as petroleum and are subject to different regulations than ETFs that own securities.

Commodity ETFs are generally structured as exchange-traded grantor trusts, which gives a direct interest in a fixed portfolio. SPDR Gold Shares, a gold exchange-traded fund, is a grantor trust, and each share represents ownership of one-tenth of an ounce of gold. Most commodity ETFs own the physical commodity. SPDR Gold Shares (NYSE Arca: GLD) owns over 40 million ounces of gold in trust, iShares Silver Trust (NYSE Arca: SLV) owns 18,000 tons of silver,Aberdeen Standard Physical Palladium Shares (NYSE Arca: PALL) owns almost 200,000 ounces of palladium, and Aberdeen Standard Physical Platinum Shares ETF (NYSE Arca: PPLT) owns over 1.1 million ounces of platinum.

However, many ETFs such as the United States Oil Fund by United States Commodity Funds (NYSE Arca: USO) only own futures contracts,[74] which may produce quite different results from owning the commodity. In these cases, the funds simply roll the delivery month of the contracts forward from month to month. This does give exposure to the commodity, but subjects the investor to risks involved in different prices along the term structure, such as a high cost to roll. They can also be index funds tracking commodity indices.

Currency ETFs enable investors to invest in or short any major currency or a basket of currencies. They are issued by Invesco and Deutsche Bank among others. Investors can profit from the foreign exchange spot change, while receiving local institutional interest rates, and a collateral yield. Leveraged ETFs (LETFs) and Inverse ETFs, use investments in derivatives to seek a daily return that corresponds to a multiple of, or the inverse (opposite) of, the daily performance of an index.

For example, Direxion offers leveraged ETFs and inverse exchange-traded funds that attempt to produce 3x the daily result of either investing in (NYSE Arca: SPXL) or shorting (NYSE Arca: SPXS) the S&P 500. To achieve these results, the issuers use various financial engineering techniques, including equity swaps, derivatives, futures contracts, and rebalancing, and re-indexing. The rebalancing and re-indexing of leveraged ETFs may have considerable costs when markets are volatile. Leveraged ETFs effectively increase exposure ahead of a losing session and decrease exposure ahead of a winning session.

This is called volatility drag or volatility tax. The rebalancing problem is that the fund manager incurs trading losses because he needs to buy when the index goes up and sell when the index goes down in order to maintain a fixed leverage ratio. Leverage possesses a dual nature, as it has the potential to result in substantial profits, yet it also carries the risk of substantial losses. Cryptocurrency ETFs invest in cryptocurrencies such as Bitcoin, Ethereum, or a basket of different cryptocurrencies.

There are two types of crypto ETFs. Spot crypto ETFs invest directly in cryptocurrencies, tracking their real-time prices, and their share prices will fluctuate with the prices of the cryptocurrencies they hold. On the other hand, future-based crypto ETFs refer to equities that do not invest directly in cryptocurrencies but rather in crypto futures contracts. These contracts are agreements to buy or sell cryptocurrencies at a predetermined price in the future. As a result, the share prices and price fluctuating trends of funds in these two types could be different, even though they hold identical cryptocurrencies and amounts.

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New Long COVID Study Zeroes In On Possible Biological Cause of Brain Fog

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Millions of “long COVID” patients coping with debilitating “brain fog” and chronic fatigue, who are looking for answers to what’s at the root of their illness, received a hopeful sign through a new study released Thursday. The answers, though somewhat complex, appear to be biological and neurological, authors of the study said. In other words, it’s not just in patients’ heads……..Continue reading…..

By Don Jacobson

Source:  UPI

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Critics:

Fatigue is complex and can be driven and maintained by a potentially wide range of biopsychosocial factors. Tiredness is a common medically unexplained symptom. In up to a third of fatigue primary care cases, no medical or psychiatric diagnosis is found. Adverse life events have been associated with fatigue. A 2021 study in a Korean city found that alcohol consumption was the variable with the most correlation with overall fatigue.

A 2020 Norway study found that 69% of substance use disorder patients had severe fatigue symptoms, and particularly those with extensive use of benzodiazepines. Causality, as opposed to correlation, were not proven in these studies. Fatigue can often be traced to poor sleep habits. Sleep deprivation and disruption is associated with subsequent fatigue. Sleep disturbances due to disease may impact fatigue. Caffeine and alcohol can disrupt sleep, causing fatigue.

Fatigue may be a side effect of certain medications (e.g., lithium salts, ciprofloxacin); beta blockers, which can induce exercise intolerance, medicines used to treat allergies or coughs, and many cancer treatments, particularly chemotherapy and radiotherapy. Use of benzodiazepines has been found to correlate with higher fatigue. Fatigue is often associated with diseases and conditions. Some major categories of conditions that often list fatigue as a symptom include physical diseases, substance use illness, mental illnesses, and other diseases and conditions.

In some areas, it has been proposed that fatigue be separated into

  • primary fatigue, caused directly by a disease process, and
  • ordinary or secondary fatigue, caused by a range of causes including exertion and also secondary impacts on a person of having a disease (such as disrupted sleep).

The ICD-11 MG22 definition of fatigue captures both types of fatigue; it includes fatigue that “occur[s] in the absence of… exertion… as a symptom of health conditions.” Obesity correlates with higher fatigue levels and incidence. In somatic symptom disorder the patient is overfocused on a physical symptom, such as fatigue, that may or may not be explained by a medical condition. The concept of adrenal fatigue is often raised in media but no scientific basis has been found for it.

The mechanisms that cause fatigue are not well understood. Several mechanisms may be in operation within a patient, with the relative contribution of each mechanism differing over time. Proposed fatigue explanations due to permanent changes in the brain may have difficulty in explaining the “unpredictability” and “variability” (i.e. appearing intermittently during the day, and not on all days) of the fatigue associated with inflammatory rheumatic diseases and autoimmune diseases (such as multiple sclerosis).

Inflammation distorts neural chemistry, brain function and functional connectivity across a broad range of brain networks, and has been linked to many types of fatigue. Findings implicate neuroinflammation in the etiology of fatigue in autoimmune and related disorders. Low-grade inflammation may cause an imbalance between energy availability and expenditure. Cytokines are small protein molecules that modulate immune responses and inflammation (as well as other functions) and may have causal roles in fatigue. However a 2019 review was inconclusive as to whether cytokines play any definitive role in ME/CFS.

Fatigue has been correlated with reductions in structural and functional connectivity in the brain. This has included in post-stroke, MS, NMOSD and MOG, and ME/CFS. This was also found for fatigue after brain injury, including a significant linear correlation between self-reported fatigue and brain functional connectivity. Areas of the brain for which there is evidence of relation to fatigue are the thalamus and middle frontal cortex, fronto-parietal and cingulo-opercular, and default mode network, salience network, and thalamocortical loop areas.

A 2024 review found that structural connectivity changes may underlie fatigue in pwRRMS but that the overall results were inconclusive, possibly explained by heterogeneity and limited number of studies. A small 2023 study found that infratentorial lesion volume (cerebellar and brainstem) was a relatively good predictor of RRMS fatigue severity. Studies have found MS fatigue correlates with damage to NAWM (normal appearing white matter) (which will not show on normal MRI but will show on DTI (diffusion tensor imaging)).The correlation becomes unreliable in patients aged over 65 due to damage due to ageing.

A small 2016 study found that primary Sjögren’s syndrome patients with high fatigue, when compared with those with low fatigue, had significantly higher plasma concentrations of HSP90α, and a tendency to higher concentrations of HSP72. A small 2020 study of Crohn’s disease patients found that higher fatigue visual analogue scale (fVAS) scores correlated with higher HSP90α levels. A related small 2012 trial investigating if application of an IL-1 receptor antagonist (anakinra) would reduce fatigue in primary Sjögren’s syndrome patients was inconclusive.

Fatigue is currently measured by many different self-measurement surveys. Examples are the Fatigue Symptom Inventory (FSI) and the Fatigue Severity Scale. There is no consensus on best practice, and the existing surveys do not capture the intermittent nature of some forms of fatigue. Physical fatigue, or muscle fatigue, is the temporary physical inability of muscles to perform optimally.

The onset of muscle fatigue during physical activity is gradual, and depends upon an individual’s level of physical fitness – other factors include sleep deprivation and overall health. Physical fatigue can be caused by a lack of energy in the muscle, by a decrease of the efficiency of the neuromuscular junction or by a reduction of the drive originating from the central nervous system, and can be reversed by rest.

The central component of fatigue is triggered by an increase of the level of serotonin in the central nervous system. During motor activity, serotonin released in synapses that contact motor neurons promotes muscle contraction. During high level of motor activity, the amount of serotonin released increases and a spillover occurs. Serotonin binds to extrasynaptic receptors located on the axonal initial segment of motor neurons with the result that nerve impulse initiation and thereby muscle contraction are inhibited.

Muscle strength testing can be used to determine the presence of a neuromuscular disease, but cannot determine its cause. Additional testing, such as electromyography, can provide diagnostic information, but information gained from muscle strength testing alone is not enough to diagnose most neuromuscular disorders. Mental fatigue is a temporary inability to maintain optimal cognitive performance.

The onset of mental fatigue during any cognitive activity is gradual, and depends upon an individual’s cognitive ability, and also upon other factors, such as sleep deprivation and overall health. Mental fatigue has also been shown to decrease physical performance. It can manifest as somnolence, lethargy, directed attention fatigue, or disengagement. Research also suggests that mental fatigue is closely linked to the concept of ego depletion, though the validity of the concept is disputed.

For example, one pre-registered study of 686 participants found that after exerting mental effort, people are likely to disengage and become less interested in exerting further effort. Decreased attention can also be described as a more or less decreased level of consciousness. In any case, this can be dangerous when performing tasks that require constant concentration, such as operating large vehicles. For instance, a person who is sufficiently somnolent may experience microsleep.

However, objective cognitive testing can be used to differentiate the neurocognitive deficits of brain disease from those attributable to tiredness. The perception of mental fatigue is believed to be modulated by the brain’s reticular activating system (RAS). Fatigue impacts a driver’s reaction time, awareness of hazards around them and their attention. Drowsy drivers are three times more likely to be involved in a car crash, and being awake over 20 hours is the equivalent of driving with a blood-alcohol concentration level of 0.08%.

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Dee feels like a prisoner in her own body and wants more people to know the truth about her illness”.

10 medical reasons for feeling tired”

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Medically unexplained symptoms”.

Anti-Inflammatory Diets and Fatigue”

Fatigue in inflammatory rheumatic diseases: current knowledge and areas for future research”

Shared imaging markers of fatigue across multiple sclerosis, aquaporin-4 antibody neuromyelitis optica spectrum disorder and MOG antibody disease”

What’s in a name? That which we call Multiple Sclerosis Fatigue”.

Patient Safety and Quality: An Evidence-Based Handbook for Nurses.

2023 EULAR recommendations for the management of fatigue in people with inflammatory rheumatic and musculoskeletal diseases”

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Labels:fatigue,covid,brainfog,disease,illness,cancer,deprivation,sleepdisorder,multiplescelorosis,symptoms,neurological,biological

A New, Open Source Text-To-Speech Model Called Dia Has Arrived To Challenge ElevenLabs, OpenAI and More

VentureBeat made with Midjourney A two-person startup by the name of  Nari Labs  has introduced Dia , a 1.6 billion parameter text-to-speech...