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Cash Flow Available for Debt Service (CFADS)

3 min read

Cash Flow Available for Debt Service (CFADS)When it comes to the risk of default, Moody’s found that during COVID-19, American businesses had a 7.8 percent chance of defaulting. This is compared to a low of 4 percent in 2021, but lower than the current 9.2 percent risk of default, according to a March 2025 report by the rating agency.

Also known as cash flow available for debt service, CFADS determines how much cash is available to service debt obligations. It looks at different cash inflows/outflows to show both internal (owners and managers) and external audiences (investors) how efficient (or not) a business is in its ability to produce cash flows and manage its debts without defaulting.

While one method businesses use is balancing client sales, it is also common to look at various accounting entries, including Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA). The results of CFADS are often used by financial analysts when creating coverage ratios, including the project life coverage ratio (PLCR), the debt service coverage ratio (DSCR), and the loan life coverage ratio (LLCR). It can sometimes take the place of EBITDA in certain circumstances. It’s important to note that the three coverage ratios show how well a plan is able to service and not default on debt throughout the entire project’s period.

For example, the DSCR = CFADS / Scheduled Debt Service (Interest + Principal Obligations)

Once this is calculated based on the company’s project specifications, if the result is greater than 1, then it signifies and gives greater confidence to internal and external audiences that the company will be able to meet its milestones and final payments.

The most efficient formula for calculating CFADS is as follows:

EBITDA – Taxes – Positive or Negative Result of Working Capital – Capital Expenditures for Maintenance Only

$200,000 (EBITDA) – $30,000 (Taxes) + $20,000 (assuming there’s a negative $20,000 change in working capital) – $40,000 (assuming the capital expenditure investing in maintenance)

CFADS = $150,000

Sometimes the calculation includes dividends, which need to be factored into the calculation. This example assumes it is not part of the calculation.

Interpreting Results

It’s important to understand that a more detailed analysis helps all audiences determine if the projected cash flow is available for different claimants of the business. While most of the calculations are done via the waterfall model, it’s important to analyze it based upon senior and junior debt, along with equity. If a company declares bankruptcy, senior debt holders are the first priority to be made whole (or as whole as possible, depending on the circumstances). Senior debt is collateralized or secured with company assets that are sold off during bankruptcy. From there, junior debt holders are next in line, followed by convertible note holders, then preferred stockholders, and finally common stockholders.

While this calculation is only one part of the way internal and external stakeholders can measure a company’s financial health, with the chance of more firms defaulting on debt, it’s another tool in a financial analyst’s toolbox.

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Deepfake Detection in Voice and Video

5 min read

Deepfake Detection in Voice and VideoDeepfakes are becoming more convincing than ever. Whether manipulated media or entirely generated by artificial intelligence (AI), deepfakes can now realistically alter faces and clone voices. They can even fabricate entire scenarios across video, audio, and text. Unfortunately, these developments now create significant challenges, and people can no longer trust what is presented online. Methods that have in the past been used to detect less-perfect deepfakes are becoming obsolete. There is now an urgent need to develop more effective detection solutions.

The Escalating Threat

Deepfakes are being actively used in malicious ways. It is being used to fuel misinformation, enable new forms of fraud, and erode the foundations of digital trust. An Identity Fraud Report 2024 by Sumsub noted a four times increase in the number of deepfakes detected worldwide from 2023 to 2024. A research study by iProov tested 2,000 UK and US consumers, revealing that only 0.1 percent of the participants accurately distinguished between real and fake content. These are only a few statistics on the severity of the deepfake problem.

Limitations of Current Detection

There are various tools and technologies available for detecting deepfakes, ranging from manual forensic analysis to automated AI-based solutions. These methods rely on identifying issues such as inconsistencies in blinking patterns, facial warping, extra limbs, or audio glitches. However, new AI models creating deepfakes have advanced to minimize these problems.

Therefore, relying on known flaws to detect deepfakes is not a sustainable strategy in an ever-evolving landscape.

Innovations in Detection Modalities and Speed

Innovation in deepfake detection requires an approach that will address the complexity and diverse nature of modern synthetic media. The new innovations must move beyond analyzing just one type of media.

  • Multi-Modal Detection – The latest deepfakes are multi-modal and can manipulate video, audio, and even accompanying text simultaneously. Therefore, detection software must have the capability to analyze these elements together.
  • Focus on Voice and Audio – This is especially crucial in detecting sophisticated voice deepfakes used in scams. New software is being built to analyze subtle vocal characteristics, background noise inconsistencies, and even speech patterns in combination with any available video to verify authenticity.
  • Real-Time and Scalable Solutions – There is a need for advanced systems that can detect deepfakes quickly and efficiently in livestreams and large volumes of content. Detection system developers must develop algorithms and infrastructure capable of this speed and scale.

Advancements in AI for Deepfake Detection

AI is playing a major role in the development of next-generation detection software that is beyond simple artifact detection to more sophisticated analysis.

  • Leveraging Foundation Models – Researchers are exploring large, pre-trained AI models that are behind many generative tools. Since these models are trained with vast amounts of data, they understand natural media. They can be fine-tuned and incorporated into detection software to help spot deviations that indicate synthetic origin.
  • Proactive and Generative Approaches – Some innovations are proactive, where generative models are being used to understand how fakes are made. This will allow detectors built into software platforms to anticipate and identify novel manipulation techniques even before they become widespread.
  • Towards more Robust and Explainable AI – Software development is also focusing on robustness against adversarial attacks. New training methods are being implemented to make detection software more resilient to deliberate attempts at evasion. There is also a push for Explainable AI (XAI) within detection software. This will help users understand why a piece of media was flagged.

Authentication and Verification Beyond Pure Detection

Advanced detection is bound to be challenged; therefore, next-generation solutions are incorporating methods for authentication and verification built into software systems.

  • Blockchain and Media Provenance – Exploring how blockchain technology can be utilized to create immutable records of media origin and any subsequent changes.
  • Human Element and Crowd-Sourcing – Integrating human expertise as a judgment of human expertise will help in complex cases. Crowd-sourcing expertise is also being explored as a way for platforms to scale human review.
  • Detecting Deepfakes in New Frontiers – As digital interactions move into new spaces like virtual worlds and the metaverse, detection software for these platforms is also necessary. This will help identify manipulated avatars and synthetic content within the immersive environments.
  • International Collaboration and Standards — fighting deepfakes is a global challenge, as synthetic media can easily spread worldwide. Therefore, collaboration among international researchers, governments, and technology companies is crucial. To accelerate the development and deployment of effective countermeasures, the involved parties can share data on new deepfake techniques and detection methods, as well as common technical standards.
  • Public Awareness and Digital Literacy – educating the public on how deepfakes are created and what to look for empowers them not to be duped by fakes. Promoting digital literacy helps people evaluate online content more skeptically and understand the importance of verified sources.

Conclusion

The race between deepfake generation and detection will undoubtedly continue. The ongoing development and deployment of sophisticated detection software is an important step toward safeguarding the integrity of digital media and preserving trust in everyday digital interactions. To deal with the escalating deepfake threat, passive defense is insufficient. Therefore, it is recommended to prioritize adopting integrated, next-generation detection software and verification methods to safeguard operations and trust.

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Rolling Back Regulations, Proving Citizenship Birth for Voting Rights, and Blocking Nationwide Injunctions

4 min read

Rolling Back Regulations, Proving Citizenship Birth for Voting Rights, and Blocking Nationwide InjunctionsProviding for congressional disapproval under chapter 8 of title 5, United States Code, of the rule submitted by the Department of Energy relating to “Energy Conservation Program: Energy Conservation Standards for Consumer Gas-Fired Instantaneous Water Heaters (HJ Res. 20) – The House and Senate both passed a resolution negating a previous rule mandating that tankless gas-fired water heaters meet certain criteria (less than 2 gallons capacity and greater than 50,000 Btu/hour) for efficiency standards, which would have phased out non-condensing technologies. Introduced by Rep. Gary Palmer (R-AL) on Jan. 15, the resolution is awaiting signature by the president.

A joint resolution disapproving the rule submitted by the Bureau of Consumer Financial Protection relating to “Overdraft Lending: Very Large Financial Institutions” (SJ Res 18) – This joint resolution, introduced by Sen. Tim Scott (R-SC) on Feb. 13, reverses a federal regulation governing overdraft fees charged by large banks. The previous rule limited overdraft fees to one of the following options: $5, cap the fee at an amount that covers costs and losses, or disclose the terms of their overdraft loan to give consumers choices for opening a line of overdraft credit, shopping for comparative loans, and determining a payment plan. The resolution passed in the Senate and the House on April 9 and presently awaits signature by the president.

SAVE Act (HR 22) – Introduced by Rep. Chip Roy (R-TX) on Jan. 3, this legislation passed in the House on April 10 and is currently under consideration in the Senate. This bill would amend the National Voter Registration Act of 1993 to require proof of United States citizenship to register to vote in elections for Federal office. The Safeguard American Voter Eligibility Act mandates that U.S. citizens present proof of citizenship in-person to election officials when registering to vote; making changes to their voter status (i.e., address change, party change); or the state election authority requests proof of citizenship when reviewing the integrity of current rolls. Voters must show both a valid ID and documentation that indicates the applicant was born in the United States, such as a passport or birth certificate. However, should the name on the ID and birth certificate not match, the applicant would also have to present legal documentation verifying the reason, such as a marriage certificate or other legal name change certification.

NORRA of 2025 (HR 1526) – Also referred to as the No Rogue Rulings Act of 2025, this legislation would restrict district court judges from issuing nationwide injunctive relief in cases only applicable to the district court. Cases involving two or more states would be referred to a three-judge panel, which would determine whether to issue a nationwide injunction. This bill was introduced by Rep. Daryll Issa (R-CA) on Feb. 24, passed in the House on April 9, and is under consideration in the Senate..

Clear Communication for Veterans Claims Act (HR 1039) – Introduced on Feb. 6 by Rep. Tom Barrett (R-MI), this bill would direct the Veterans Affairs (VA) to partner with an outside communications agency to make benefits communications more concise and easier for veterans to understand. The bill passed in the House on April 7 and is currently under consideration in the Senate.

Vietnam Veterans Liver Fluke Cancer Study Act (HR 586) – The purpose of this bipartisan bill is to authorize the VA to study and report on the prevalence of cholangiocarcinoma in veterans who served in the areas of conflict during the Vietnam War, including South Vietnam, North Vietnam and surrounding areas like Laos and Cambodia. The study would include identifying the rate of incidence of cholangiocarcinoma from the beginning of the Vietnam era to the date of enactment of this act. The bill was introduced by Rep. Nicolas LaLota (R-NY) on Jan. 21, passed in the House on April 7 and currently lies with the Senate.

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Treasury Declares New Beneficial Ownership Reporting Law Will Apply Only to Foreign Companies

3 min read

BOI Law Will Apply Only to Foreign CompaniesThe Trump Administration announced it will no longer apply the beneficial ownership information (BOI) requirements of the Corporate Transparency Act (CTA) to domestic companies. This declaration came first via social media, marking a significant shift in policy.

Under this new directive, U.S. businesses are exempt from the BOI reporting requirements of the CTA. The Treasury Department made the initial announcement on social media, followed by an official press release and a Truth Social post from President Donald Trump, who described the requirement as “outrageous and invasive.”

The bipartisan CTA was originally designed to combat illegal activities like drug trafficking and money laundering by limiting the use of anonymous shell companies. While the ownership information would have been available to law enforcement agencies, it would not have been publicly accessible.

In its March 3 website statement, the Treasury Department clarified that it will not enforce penalties or fines related to the BOI reporting rule under current regulatory deadlines established during the Biden Administration. Furthermore, it will not impose penalties against U.S. citizens, domestic reporting companies or their beneficial owners after new rule changes are implemented.

Treasury’s proposed rules will limit required reporting to foreign companies only, though the precise scope remains unclear – whether this applies exclusively to foreign companies registered in the United States or extends to U.S. companies with foreign ownership.

Previously, reporting requirements covered all businesses formed in the United States and foreign companies registered to operate in any U.S. state or tribal territory.

The Financial Crimes Enforcement Network (FinCEN), which oversees CTA enforcement, appears to have been surprised by this policy change. Days earlier, following court decisions that permitted BOI reporting requirements to proceed, FinCEN had announced plans to extend reporting deadlines to March 21. As of the most recent update, FinCEN’s website has not reflected the Treasury’s announcement, and requests for comment went unanswered.

What Happens Now?

This unexpected announcement has created uncertainty for businesses, particularly regarding already-submitted data.

The law required detailed information from “beneficial owners,” including names, birthdates, addresses, and identification documents. Similar information was required from company applicants – typically individuals who helped establish the company.

Millions of companies had already complied before this announcement, raising questions about the handling of submitted information. Inquiries to FinCEN about the fate of this data have not received responses.

The status of pending legal cases also remains uncertain. Cases continue through at least four federal appellate courts, and additional litigation may emerge to compel administration compliance with the law.

Crucially, the Corporate Transparency Act itself remains valid legislation. Despite the Treasury’s position, the executive branch cannot overturn the laws passed by Congress. It can, however, choose selective enforcement – similar to approaches seen with cannabis legislation. This creates potential complications, as future administrations could reinstate full enforcement.

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Reasons to Consider Out-of-State Municipal Bonds

4 min read

Out-of-State Municipal BondsMunicipal bonds (also known as munis) are issued by a state or local government. Interest income is typically paid out twice a year and is not subject to federal taxes. When an investor purchases a bond issued from his own state, the income is generally not subject to state income taxes.

However, there are a few good reasons to consider buying out-of-state municipal bonds. The first reason is to consider bond quality. Each muni bond is given a quality rating based on the municipality’s ability to make the regular interest payments to investors and return their principal when the term matures. To make this determination, agencies like Moody’s and S&P evaluate the issuer’s debt structure, financial stability and long-term economic prospects.

Credit Quality

The highest Moody’s rating is Aaa (the lowest is C); a rating of Baa3 or higher is considered investment grade. The highest S&P rating is AAA (the lowest is D), and a rating of BBB or higher is considered investment grade. While it’s a good idea to invest in highly rated bonds, note that their yields are inversely related to their quality. In other words, the lower the rating, the higher the interest income. Just be sure to consider that with that higher yield comes a higher risk of the bond issuer defaulting. In today’s economic landscape, an average credit rating of AA/Aa is considered a good balance of risk and bond yield.

Diversification

Second, if the investor holds a portfolio of municipal bonds, owning some from other states can help diversify his bond portfolio. If the investor’s home state has lower-rated bonds, investing in higher-rated bonds from other states can lower his bond portfolio’s quality risk. On the other hand, if the investor’s home state has highly rated bonds, purchasing bonds from states with lower-rated bonds can increase the amount of income his portfolio pays out. Remember, too, that it’s important to consider both the bond yield (also known as its coupon rate) and its issuing state’s taxes in order to come out ahead.

More Choices

Note that both California and New York are high-tax states, so it’s particularly important to consider the tax situation before buying there. With that said, there are also good reasons to buy bonds in these two states because they offer a range of quality municipal bonds. On the flip side, some states have fewer bond options to choose from and a lower risk profile, leaving resident investors with few options regardless of the state tax benefit. Be aware that the majority of muni bonds are rated lower than AA in Illinois, Pennsylvania, and New Jersey.

Tax Considerations

There are seven states that do not impose state income taxes: Alaska, Florida, Nevada, South Dakota, Tennessee, Texas, Washington, and Wyoming. New Hampshire recently phased out its tax on investment and interest income. If a muni bond investor lives in a state with no taxes on income, there is no benefit to limiting his purchases to in-state bonds. In this scenario, it’s a good idea to compare muni bonds from states with high-rated and high-yield bonds to build a diversified bond portfolio while also considering the annual tax bill in each of those states.

If a muni bond investor lives in a high-tax state, such as California with a 12.3 percent tax rate for residents with income in the top bracket (effectively 13.3 percent if you include the additional 1 percent surcharge on individuals earning over $1 million), then it makes sense to buy out-of-state munis to help reduce their tax burden.

Despite these general guidelines, investors should check on the muni bond tax status in their home state before making a purchase. Some states, such as Illinois, require residents to pay taxes on in-state muni bond yields. In this situation, the resident may find better deals with out-of-state munis by comparing coupon rates against the income taxes in those states.