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Kevin Taylor

You Earned Your DDS/DMD, but Are You a Dental Investor?

Taking the time to build your education and skill is important regardless what profession you are in. Of course, some of these take more outlay than others. Becoming specialized in a field is something dentists understand well. Financial advisors are the same way. Financial planners can have a wide range of understanding and expertise that is built through education over time. They can specialize in certain areas, knowing how to advise those in specific industries better than others. Education Matters Education is critical in medical, financial, and technological fields. This isn’t something that needs to be explained to a dentist. But when a dental professional tries to handle their own financial matters, they can often lack the training needed to make solid, profitable investments. This is where the concept of a dental investor can come into play. A financial advisor who supports the specific needs of a dental practice or individual provider is a valuable tool. Financing Dreams Dr. Peter Novelle grew up fixing things. Whether taking apart his bike, or rescuing a neighborhood cat, he found himself drawn to helping. Originally interested in veterinarian work, he made the decision to focus on dentistry after his family took a trip to Honduras and he felt a calling to work with people. He loved his high school science classes and excelled in college.  His first position was in a large dental office where he grew his skills and found an interest in working with youth. He continued his career with a specialty in pediatric dentistry and wanted to open his own practice. Dr. Novelle wasn’t sure how to open a dental practice with his debt. Even though he was someone who prided himself on being a fixer, he knew he needed outside help. A consummate Do-It-Yourselfer, Dr. Novelle contacted a dental investor to help him create a financial plan to finance his dreams. Creating a Plan Dr. Novelle’s dental investment manager met with him to discover his current situation as well as where he wanted to be financially in the future. Together they took a look at his debt, savings, insurance and investments. They created a strategy to meet short-term goals and to begin building on long range objectives such as putting him in a dentist 401(k) plan. The financial advisor provided Dr. Novelle information and structure so he could ultimately become a more knowledgeable dental investor himself. Everyone has to start somewhere – whether just out of school, working for someone else, or dreaming of building your own practice, a solid financial foundation must come first. Working with a dental financial advisor early on in your career will help you know what your next investment steps should be for your personal wealth building. From there, as you build your dental office, they will help you move in the right direction for balancing income and taxation, making healthy investment decisions and creating a long-term plan for your practice. If you’d like to learn more and get a free, no-obligation consultation, please contact us today and speak directly with a dental investor.

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Articles
Kevin Taylor

Is a U.S. Housing Market Crash Inevitable?

It is almost inevitable that housing correction is coming. Most of the upswing nationally in housing prices is caused by low borrowing rates. A mortgage payment is mostly made up of three different columns 1) Principle 2) Interest 3) Other required costs of homeownership like insurance and taxes. The bulk of the payment comes from the first two.  Banks start the process by determining your “ability-to-repay” the debt. This comes to a given amount that they assume borrowers can repay, let’s say this number is $100 a month. This means you are approved if Principle, Interest, and Other Costs can come to less than $100 a month. So all of the “costs” combined need to stay below that mark, a zero-sum figure. Now as interest rates were low, the amount of the interest portion of the loan was low. Meaning more money could be freed up for the principal portion. And that principal portion is the rate at which the loan is being repaid. So if over a 360 payment loan $75 on average is getting paid in principle, the loan can retire $25,200 in debt. So the borrower can offer $25,200 for a home with faith from the bank that they will be able to repay. Thus, the buyer in the real estate auction can spend $25,200 max (and they will spend all of it).  Now if that same borrower, who can afford $100 a month in mortgage payments has to borrow in an interest rate environment that is 10% more costly than before, a rate change of borrowing from 2% to 2.2% the borrower will need to borrow from the principal repayment part of the pie. That means that the average payment they can afford to make comes down, and they will only be able to offer $21,600 when making an offer on the house. This is 14% less, after a 10% move up in borrowing costs.  This is where it will get interesting.  The “rates” that you may have heard are rising, are the percentages at which banks borrow. That money has cost banks 0.25%, since 2020. It’s made spending during the pandemic easier and lowered the cost of capital risk for banks in order to keep the money flowing. So, a bank borrowing at .25% or close to it can lend a 30-year mortgage at really low rates. Hence the sub 3% and 2% mortgage rates we saw in the last 2 years and on the heels of the 2009-2016 recovery cycle.   The by-product of this low-interest rate, high spending environment is inflation (the rising costs of goods and services). So if the cost to the bank to repay these loans increases, the cost for borrowers increases at a faster rate. So the rate of change is more than the 10% increase we discussed above. A borrower seeing their interest rate go from 2.2% to 4.4% (while still historically low) will see their capacity for repayment severely impacted. By just returning to normal lending rates the portion a borrower can repay is reduced. The borrower who could afford a $100 a month payment, now sees his buying power reduced to $9,000 over the course of the 360 mortgage payments in a 30-year mortgage. The borrower now has 41% of the buying capacity by doubling the borrowing rate, this change in the amount of borrowed capital buyers brought into the house buying equation, means that the bid sizes will invariably contract. Bringing the prices that a home clears the market down. Knock-on-effects: Inflation In the above scenario, the ignored part of the pie is the “Other.” This is mostly tax and insurance, but also includes power, water, HOA’s, and other required expenses for the ownership of a home. These costs are also climbing, and they too will erode the buying power of borrowers. This has been a largely understood space for some time, but as inflation continues to outpace wages, this will have a growing negative effect on the buyer’s ability to borrow. This is simply shifting payments from principle into insurance. What is missing from the “crash” in ‘08?: Leverage So just understanding that buyers are going to lose buying capacity in a given market doesn’t result in a crash, it just means that home prices will contract. What is still missing in this equation is selling pressures.  The housing crisis wasn’t just the rising cost of home prices, it was also the deterioration of credit quality borrowers, and excess leverage. As the housing market of the early 2000s looks eerily similar in growth, an important distinction is made between the two when we look at the leverage ratio of borrowers. This is a result of the bad actors in the housing crisis leveraging one house with another, and another, and another. This allowed the rampant contagion of home selling. One default in the leverage on leverage structure meant that a single default meant 2 or more defaults as a result. The low credit quality and poor borrowing strategies (adjustable rate mortgages, and subprime lending) meant that all borrowing became interconnected. Now while the current system has become somewhat lax on the underwriting standards again, the use of adjustable mortgages and equity requirements for vacation and second homes remains largely intact. Limiting the contagion of contraction to single borrowers. What is missing from the “crash” in ‘08?: Employment Employment is well below 4% and that is encouraging. That means that there is plenty of demand for workers and that if a borrower is qualified when they are employed, the risk of losing that employment is at its lowest point ever. Broadly speaking this means that it’s worth keeping an eye on, but will limit the amount of forced selling that could trigger a true “crash”. 

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Articles
Kevin Taylor

Exploring the Groundbreaking Achievements and Capabilities of Google’s DeepMind

Google’s DeepMind has established itself as a leading force in the field of artificial intelligence (AI) research and development. With a mission to “solve intelligence and then use that to solve everything else,” DeepMind has made remarkable advancements in machine learning, reinforcement learning, and other areas of AI. This article will delve into the achievements and capabilities of DeepMind, showcasing its groundbreaking contributions and potential implications for various industries. AlphaGo: Mastering the Game of Go DeepMind gained global recognition in 2016 when its program, AlphaGo, defeated the world champion Go player, Lee Sedol. The ancient game of Go had long been considered an immense challenge for AI due to its complexity and the vast number of possible moves. However, DeepMind’s AlphaGo utilized a combination of deep neural networks and reinforcement learning to surpass human expertise and achieve a superhuman level of play. Healthcare Innovations DeepMind has also made significant strides in the healthcare sector, collaborating with leading medical institutions to develop AI-powered solutions. For instance, in 2018, DeepMind partnered with Moorfields Eye Hospital to develop a deep-learning algorithm capable of detecting eye diseases, such as macular degeneration and diabetic retinopathy, from retinal scans. This technology demonstrated an accuracy comparable to that of expert clinicians, highlighting its potential for enhancing early disease diagnosis and treatment. Furthermore, DeepMind has worked on predicting patient deterioration in hospitals by leveraging AI algorithms to analyze medical records and vital signs. This research aims to enable healthcare providers to identify patients at risk of deteriorating, allowing for timely interventions and improved patient outcomes. Accelerating Scientific Discoveries DeepMind has been at the forefront of accelerating scientific research through AI. One remarkable achievement is the development of AlphaFold, an AI system designed for protein folding prediction. In the field of biology, understanding protein structures is crucial for comprehending their functions and developing targeted treatments. DeepMind’s AlphaFold leverages deep learning techniques to predict protein structures with exceptional accuracy, surpassing all other methods during the CASP13 competition. This breakthrough has the potential to revolutionize drug discovery, bioengineering, and other areas of life sciences. By providing researchers with highly accurate predictions of protein structures, AlphaFold significantly expedites the process of identifying potential drug targets and understanding the mechanisms of diseases. Ethical Considerations and Advancing AI Safety DeepMind is committed to addressing the ethical and safety implications of AI technology. In 2017, it established the DeepMind Ethics and Society (DMES) research unit to explore the ethical challenges and impact of AI on society. DMES conducts interdisciplinary research and engages in discussions with policymakers, experts, and the public to ensure the responsible development and deployment of AI systems. Moreover, DeepMind has actively participated in advancing AI safety. It co-founded the Partnership on AI, a collaborative initiative focused on addressing the global challenges associated with AI development and deployment. DeepMind’s research on reinforcement learning has also contributed to the development of techniques such as reward modeling, which helps in aligning AI systems’ objectives with human values. Google’s DeepMind has continually pushed the boundaries of AI research, achieving groundbreaking milestones and fostering advancements in various domains. From conquering complex games to revolutionizing healthcare and scientific discoveries, DeepMind’s capabilities have showcased the transformative potential of AI. As DeepMind continues to explore new frontiers, its commitment to ethics and safety serves as a reminder of the importance of responsible and transparent AI development. The achievements of DeepMind signify a promising future where AI and human intelligence synergistically solve some of the world’s most challenging problems.

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