InSight

Critical questions that investors should discuss

Financial Planning Dentist
  1. What is the investment objective, and what is the time horizon for achieving it?
  2. What is the risk tolerance of the trust or family office?
  3. What is the desired return, and what is the asset allocation required to achieve it?
  4. What are the investment restrictions, such as asset class limitations, ethical constraints, or legal restrictions?
  5. What is the process for selecting and monitoring investment managers?
  6. How often will the investment portfolio be reviewed and evaluated?
  7. What is the process for making changes to the investment strategy?

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Kevin Taylor

The Benefits of an Automatic Savings Plan

What Is an Automatic Savings Plan (ASP)? This is a cornerstone idea for those that have a deliberate and controllable trajectory in retirement. It’s as simple as, if I want to do “x” in retirement, I need to save “y” this year to get there, and then find ways to use payroll or income to make sure that target is hit. At InSight we often preach: Income – Savings = Expenses As a way of achieving this goal. In this article, we discuss the methods for automating this way of thinking so that savings become technical long before it becomes habitual. An automated saving plan is simply a function of working with your CFP® regarding what your saving rate should be, and then using any of the tools available to make it part of the monthly flow of cash. You will typically see savers set up an automatic transfer from a bank account or as part of their payroll into a savings or investment account every two weeks. This kind of forced discipline drives savers and investors to accrue assets throughout the business cycles and remove some of the saving and investment habits that can quickly upend an investment strategy. Every time the individual receives a paycheck from their employer, the designated amount is automatically transferred into the individual’s savings account. Article Key InSights: An Automatic Savings Plan puts the saver in the driver’s seat in an emotionless and academic way. This strategy is convenient for someone who wants to see the account grow steadily over time. It makes savings an early and paramount part of the budgeting process instead of an afterthought. It makes savings a habit over time but can help develop the discipline for those not born or raised with the skillset. The benefits of an Automatic Savings Plan (ASP) A savings plan that uses the technology and tools to put saving first, has other benefits as well. If the formula becomes Income – Savings = Expenses, those on a plan for retirement find themselves less likely to miss critical months when things get tight. Supports the need to budget  They also find that setting their budget after savings makes it easier to keep to it. Thinking about their savings as a non-discretionary expense is a great way to go. It’s a necessity, not a hope. They also find that if the money is saved and invested, they are less likely to backslide into spending that money. It puts that money in a mental place that is more productive and out of reach for day-to-day demands. This means that some of the small, “nickel and dime” spending that often limits people’s savings is no longer a concern. The psychology of “money in the bank” is interesting. An entire school of economics is dedicated to it. Known as the Wealth Effect – having a surplus of money in your account causes you to discount its value. This creates a change in behavior pre-cognitively. Here is an example, if a jet ski (my go-to for something fun and likely a poor financial purchase) costs $9,000 and I have $10,000 in my savings account this purchase is 90% of my cash on hand. I will think more seriously about spending that money. If I look at the same jet ski and I have $100,000 in cash it’s only 9% then I might change my mind about the cost of the jet ski. But at no point did the value of the jet ski change, only my opinion of its cost was altered. In many cases, we make these changes in an item’s valuation before the cognitive brain kicks in. Hence, impulse buying. The grocery store knows this, and if your groceries are EVER short of your budget they have several “impulse” items available to shore up the cost of that purchase. We think adding an automated savings strategy helps to make sure that the person feeling the negative impact of this impulse is not “retired” you. My favorite part of saving first and then spending is I don’t have to worry about what I spend because I have already saved in all the places I need. This enables me to not care as much about spending on a day-to-day basis and relieves a lot of stress about money. Managing decisions toward delayed gratification If I ask people, who would they sign up for $1 million paid today, or $4 million paid in 10 years, far too many would take the $1 million today. It’s understandable, there is pain and debt today you can alleviate, and our brains are not engineered to think logically first, it thinks reactively. It’s only after the rational brain has a chance to understand the real value of $4 million in a future state that we get comfortable with the idea of waiting for it. The logical part of the brain can be shown the effects of compounding returns that the impulsive brain discounts greatly, and as a result, poor financial decisions are made. Managing this “delayed gratification” can be done by having a goal in mind, setting up an automatic way to achieve that goal, and limiting the capacity for the impulse to upset that goal. All of these can be mitigated by using an Automatic Savings Plan. Saving through losses An automatic savings plan can also help investors continue to contribute savings to their investment portfolio through losses. Investing for many is highly emotional. Investors become emotionally tied to their own decisions, and they feel the pain of a loss, disproportionately, to the gains of a win. This makes investing hard for most. However, those that develop a portfolio with a long-term expectation, and manage their ability to routinely and programmatically add to it gain several long-term benefits. First, they are able to buy when things are darkest when the headlines are poor, and fear grips lesser prepared investors. Secondly, it helps them manage their buying when things are good. While saving, they

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Definitions: Inflation

Inflation is a measurement of the rise in the cost of goods and services. Thus the inflation rate is the decline of the purchasing power of your money over time. So over time your money simply can buy less.  Several benchmarks estimate the rate at which the decline in purchasing power occurs. The CPI, PPI and wage indexes are among these. These benchmarks are primarily measured as an increase of an average price level of a basket of selected goods and services over intervals. The rise in the general level of prices, often expressed as a percentage means that a unit of currency effectively buys less than it did in prior periods. Sources of inflation can vary in different ways, but measured in the aggregate can provide an important source of devaluing essential in long term planning.

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Kevin Taylor

The Future of Compute: Navigating Through Bottlenecks to New Horizons

The relentless march of technological advancement continues to redefine the landscape of computing. As we push the boundaries of what’s possible, the future of compute looks both promising and challenging. Central to this journey are the bottlenecks that currently limit our progress and the innovative strategies companies are employing to overcome these hurdles. This post explores these critical challenges and highlights how leading firms are paving the way for a new era of computing capabilities. Current Bottlenecks in Computing 1. Moore’s Law Slowing Down: For decades, Moore’s Law has predicted the doubling of transistors on a microchip approximately every two years, leading to continuous performance enhancements. However, as we approach the physical limitations of silicon-based chips, this pace has significantly slowed, posing a fundamental bottleneck to computational power growth. 2. Energy Efficiency: As computational power increases, so does energy consumption. Data centers worldwide are already consuming an immense amount of electricity, leading to concerns over sustainability and operational costs. 3. Heat Dissipation: High-performance computing generates substantial heat, which needs to be efficiently dissipated to prevent overheating and ensure system stability. Traditional cooling solutions are becoming insufficient for next-generation computing demands. 4. Data Movement Bottlenecks: As data sets grow exponentially, the bandwidth required to move data between storage and processors has become a critical bottleneck. This limitation affects everything from cloud computing to machine learning applications. Overcoming Limitations: Strategies from Leading Companies To address these challenges, companies across the globe are investing in research and development to find innovative solutions. Here are some of the strategies being employed: 1. Embracing New Materials and Architectures: Companies like IBM and Intel are exploring beyond traditional silicon to materials like graphene and carbon nanotubes, which could potentially offer superior electrical properties. Additionally, new chip architectures, such as 3D stacking and chiplets, are being developed to enhance connectivity and reduce latency. 2. Advancing Quantum Computing: Google, IBM, and startups like Rigetti are heavily investing in quantum computing, a technology that promises exponential increases in computational power while potentially solving the energy efficiency problem. Quantum computing operates fundamentally differently from classical computing and could bypass many of the limitations we currently face. 3. Innovating in Cooling Technologies: To tackle the heat dissipation challenge, companies like Microsoft have experimented with submerging data centers in the ocean to leverage natural cooling. Others are developing advanced liquid cooling solutions and even exploring the use of materials with higher thermal conductivity for heat management. 4. Reducing Data Movement: New processing paradigms, such as in-memory computing and edge computing, are being developed to bring processing closer to where data is stored or created. This approach reduces the need for data movement, thereby alleviating bandwidth bottlenecks. Companies like Nvidia and Intel are leading the charge in these areas, integrating processing capabilities directly into storage devices and developing specialized hardware for edge computing applications. 5. Enhancing Energy Efficiency: ARM and AMD are focusing on creating more energy-efficient processor designs. These efforts include optimizing software to run more efficiently on existing hardware and developing processors that can deliver higher performance per watt. Looking Ahead The future of computing is not just about overcoming current limitations but also about reimagining what computing can achieve. As we look ahead, the convergence of artificial intelligence, quantum computing, and new materials science will likely be the catalyst for the next wave of technological revolutions. Innovation in computing is as much about the journey as it is about the destination. The challenges we face today are but stepping stones to a future where the full potential of computing can be realized. As companies continue to push the boundaries of what’s possible, we can look forward to a future where the limitations of today are the breakthroughs of tomorrow. The path forward is fraught with challenges, but with every bottleneck overcome, we unlock new possibilities. The future of computing is not just about faster processors and more efficient algorithms; it’s about redefining the very fabric of technology to create a more connected, intelligent, and sustainable world.

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