11th District Cost of Funds Index (COFI)

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What Is the 11th District Cost of Funds Index?

The 11th District Cost of Funds Index (COFI) is a monthly weighted average of the interest rates paid on checking and savings accounts offered by financial institutions operating in Arizona, California, and Nevada. It is one of many indices used by mortgage lenders to adjust the interest rate on adjustable rate mortgages (ARM) and was launched in 1981. With an ARM mortgage, the interest rate on a mortgage moves up and down along with some standard interest rate chosen by the lender, and COFI is one of the most popular indices in the western states.

Published on the last day of each month, the COFI represents the cost of funds for western savings institutions that are members of Federal Home Loan Bank of San Francisco, a self-regulatory agency, and satisfy the Bank’s criteria for inclusion in the index.

Understanding the 11th District COFI

The 11th District Cost of Funds Index (COFI) is computed using several different factors, with interest paid on savings accounts comprising the largest weighting in the average. As a result, the index tends to have low volatility and follow market interest rate changes somewhat slowly; it is generally regarded as a two-month lagging indicator of market interest rates. The interest rate on a mortgage will not match the COFI, rather the ARM rate is typically 2% to 3% higher than COFI, depending on the borrower’s credit history, the size and terms of the loan, the ability of the borrower to negotiate with the bank and many other factors.

Because it is computed using data from three western states, the COFI is primarily used in the western U.S., while the 1-year Treasury index is the measure of choice in the eastern region. On April 30, the Federal Home Loan Bank of San Francisco announced the COFI for March 2018 of 0.814%, slightly lower than February.

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Anchoring in Investing: Overview and Examples

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Anchoring in Investing: Overview and Examples

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What Is Anchoring?

Anchoring is a heuristic in behavioral finance that describes the subconscious use of irrelevant information, such as the purchase price of a security, as a fixed reference point (or anchor) for making subsequent decisions about that security. Thus, people are more likely to estimate the value of the same item higher if the suggested sticker price is $100 than if it is $50.

In sales, price, and wage negotiations, anchoring can be a powerful tool. Studies have shown that setting an anchor at the outset of a negotiation can have more effect on the final outcome than the intervening negotiation process. Setting a starting point that is deliberately too high can affect the range of all subsequent counteroffers.

Key Takeaways

  • Anchoring is a behavioral finance term to describe an irrational bias towards an arbitrary benchmark figure.
  • This benchmark then skews decision-making regarding a security by market participants, such as when to sell the investment.
  • Anchoring can be used to advantage in sales and price negotiations where setting an initial anchor can influence subsequent negotiations in your favor.

Understanding Anchoring

Anchoring is a cognitive bias in which the use of an arbitrary benchmark such as a purchase price or sticker price carries a disproportionately high weight in one’s decision-making process. The concept is part of the field of behavioral finance, which studies how emotions and other extraneous factors influence economic choices.

In the context of investing, one consequence of anchoring is that market participants with an anchoring bias tend to hold investments that have lost value because they have anchored their fair value estimate to the original price rather than to fundamentals. As a result, market participants assume greater risk by holding the investment in the hope the security will return to its purchase price.

Market participants are often aware that their anchor is imperfect and attempt to make adjustments to reflect subsequent information and analysis. However, these adjustments often produce outcomes that reflect the bias of the original anchors.

Anchoring is often paired with a heuristic known as adjusting, whereby the reference level or anchor is adjusted as conditions change and prices are re-evaluated.

Anchoring Bias

An anchoring bias can cause a financial market participant, such as a financial analyst or investor, to make an incorrect financial decision, such as buying an overvalued investment or selling an undervalued investment. Anchoring bias can be present anywhere in the financial decision-making process, from key forecast inputs, such as sales volumes and commodity prices, to final output like cash flow and security prices.

Historical values, such as acquisition prices or high-water marks, are common anchors. This holds for values necessary to accomplish a certain objective, such as achieving a target return or generating a particular amount of net proceeds. These values are unrelated to market pricing and cause market participants to reject rational decisions.

Anchoring can be present with relative metrics, such as valuation multiples. Market participants using a rule-of-thumb valuation multiple to evaluate securities prices demonstrate anchoring when they ignore evidence that one security has a greater potential for earnings growth.

Some anchors, such as absolute historical values and values necessary to accomplish an objective, can be harmful to investment objectives, and many analysts encourage investors to reject these types of anchors. Other anchors can be helpful as market participants deal with the complexity and uncertainty inherent in an environment of information overload. Market participants can counter anchoring bias by identifying the factors behind the anchor and replacing suppositions with quantifiable data.

Comprehensive research and assessment of factors affecting markets or a security’s price are necessary to eliminate anchoring bias from decision-making in the investment process.

Examples of Anchoring Bias

It is easy to find examples of anchoring bias in everyday life. Customers for a product or service are typically anchored to a sales price based on the price marked by a shop or suggested by a salesperson. Any further negotiation for the product is in relation to that figure, regardless of its actual cost.

Within the investing world, anchoring bias can take on several forms. For instance, traders are typically anchored to the price at which they bought a security. If a trader bought stock ABC for $100, then they will be psychologically fixated on that price for judging when to sell or make additional purchases of the same stock — regardless of ABC’s actual value based on an assessment of relevant factors or fundamentals affecting it.

In another case, analysts may become anchored to the value of a given index at a certain level instead of considering historical figures. For example, if the S&P 500 is on a bull run and has a value of 3,000, then analysts’ propensity will be to predict values closer to that figure rather than considering the standard deviation of values, which have a fairly wide range for that index.

Anchoring also appears frequently in sales negotiations.  A salesman can offer a very high price to start negotiations that is objectively well above fair value. Yet, because the high price is an anchor, the final selling price will also tend to be higher than if the salesman had offered a fair or low price to start. A similar technique may be applied in hiring negotiations when a hiring manager or prospective hire proposes an initial salary. Either party may then push the discussion to that starting point, hoping to reach an agreeable amount that was derived from the anchor.

How Do You Avoid Anchoring Bias?

Studies have shown that some factors can mitigate anchoring, but it is difficult to avoid altogether, even when people are made aware of the bias and deliberately try to avoid it. In experimental studies, telling people about anchoring and advising them to “consider the opposite” can reduce, but not eliminate, the effect of anchoring.

How Can I Use Anchoring to My Advantage?

If you are selling something or negotiating a salary, you can start with a higher price than you expect to get as it will set an anchor that will tend to pull the final price up. If you are buying something or a hiring manager, you would instead start with a lowball level to induce the anchoring effect lower.

What Is Anchoring and Adjustment?

The anchoring and adjustment heuristic describes cases in which an anchor is subsequently adjusted based on new information until an acceptable value is reached over time. Often, those adjustments, however, prove inadequate and remain too close to the original anchor, which is a problem when the anchor is very different from the true or fair value.

Correction—July 21, 2022: This article was updated to make clear a risk of anchoring resulting in buying overvalued assets or selling undervalued ones, not buying undervalued assets and selling overvalued ones.

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Aggregate Supply Explained: What It Is, How It Works

Written by admin. Posted in A, Financial Terms Dictionary

Aggregate Supply Explained: What It Is, How It Works

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What Is Aggregate Supply?

Aggregate supply, also known as total output, is the total supply of goods and services produced within an economy at a given overall price in a given period. It is represented by the aggregate supply curve, which describes the relationship between price levels and the quantity of output that firms are willing to provide. Typically, there is a positive relationship between aggregate supply and the price level.

Aggregate supply is usually calculated over a year because changes in supply tend to lag changes in demand.

Aggregate Supply Explained

Rising prices are typically an indicator that businesses should expand production to meet a higher level of aggregate demand. When demand increases amid constant supply, consumers compete for the goods available and, therefore, pay higher prices. This dynamic induces firms to increase output to sell more goods. The resulting supply increase causes prices to normalize and output to remain elevated.

Key Takeaways

  • Total goods produced at a specific price point for a particular period are aggregate supply.
  • Short-term changes in aggregate supply are impacted most significantly by increases or decreases in demand.
  • Long-term changes in aggregate supply are impacted most significantly by new technology or other changes in an industry.

Changes in Aggregate Supply

A shift in aggregate supply can be attributed to many variables, including changes in the size and quality of labor, technological innovations, an increase in wages, an increase in production costs, changes in producer taxes, and subsidies and changes in inflation. Some of these factors lead to positive changes in aggregate supply while others cause aggregate supply to decline. For example, increased labor efficiency, perhaps through outsourcing or automation, raises supply output by decreasing the labor cost per unit of supply. By contrast, wage increases place downward pressure on aggregate supply by increasing production costs.

Aggregate Supply Over the Short and Long Run

In the short run, aggregate supply responds to higher demand (and prices) by increasing the use of current inputs in the production process. In the short run, the level of capital is fixed, and a company cannot, for example, erect a new factory or introduce a new technology to increase production efficiency. Instead, the company ramps up supply by getting more out of its existing factors of production, such as assigning workers more hours or increasing the use of existing technology.

In the long run, however, aggregate supply is not affected by the price level and is driven only by improvements in productivity and efficiency. Such improvements include increases in the level of skill and education among workers, technological advancements, and increases in capital. Certain economic viewpoints, such as the Keynesian theory, assert that long-run aggregate supply is still price elastic up to a certain point. Once this point is reached, supply becomes insensitive to changes in price.

Example of Aggregate Supply

XYZ Corporation produces 100,000 widgets per quarter at a total expense of $1 million, but the cost of a critical component that accounts for 10% of that expense doubles in price because of a shortage of materials or other external factors. In that event, XYZ Corporation could produce only 90,909 widgets if it is still spending $1 million on production. This reduction would represent a decrease in aggregate supply. In this example, the lower aggregate supply could lead to demand exceeding output. That, coupled with the increase in production costs, is likely to lead to a rise in price.

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