Investor Complacency and Stock Market Volatility: the VIX Index

Featured image: CBOE Volatility index (VIX) chart. Interactive chart at Yahoo Finance.

🏦 ThemesFinance and Wealth.

🤖 Chatbots: Bing Chat.

⚙️ Prompt engineering: Stock Market Research, Web Research

[Original Jika.io post] [eToro post] [X.com post]

😎 Define complacency when it refers to financial investment. From the perspective of today, August 24, 2023, and my location (countries under the umbrella term “Western world”), explain how complacency may be a good term to describe the attitude and inner feelings of people who, like me, have benefited from the significant comparative appreciation of certain types of assets after more than a decade since latest major market crash (2008) and financial crises (2007-2012) affecting the “Western world”.

🤖 Complacency is a state of mind characterized by satisfaction with one’s achievements, abilities, or situation, often without awareness of potential dangers or deficiencies. When it refers to financial investment, complacency means being overly confident or comfortable with one’s investment decisions or portfolio performance, ignoring the risks or uncertainties that may arise in the future. Complacency can lead to poor investment outcomes, such as missing opportunities, underestimating volatility, or failing to diversify.

From the perspective of today and your location, complacency may be a good term to describe the attitude and inner feelings of people who, like you, have benefited from the significant appreciation of certain types of assets after more than a decade since the latest major market crash (2008) and financial crises (2007-2012) affecting the “Western world”. Some possible reasons are:

  • You may have experienced a long period of low market volatility and high returns, which may have made you less sensitive to the potential shocks or reversals that could occur in the future. According to a report by the European Central Bank [ECB], low financial market volatility in the years prior to the coronavirus outbreak increased the popularity of investment strategies based on targeting volatility, which could amplify market movements when volatility spikes.
  • You may have developed a strong belief in your own investment capabilities or strategies, which may have made you less willing to seek new information, learn from others, or adapt to changing market conditions. According to a study by Du [Springer.com], financial institutions are particularly cautious in embracing mobile payments because they could compromise their traditional payment instruments and business models, but they also risk being left out of the future payment markets if they do not take proactive actions.
  • You may have followed the herd mentality or succumbed to institutional pressures, which may have made you less inclined to question the prevailing market trends, norms, or expectations. According to a paper by J.P. Morgan [J.P. Morgan], there has been considerable disagreement among various mobile payment stakeholders on the market architecture, which has delayed the emergence of a stable, frictionless mobile payments ecosystem. Investors who blindly follow the crowd or conform to institutional rules may miss out on opportunities or face challenges in such an evolving environment.

Therefore, complacency can be a dangerous trap for investors who want to achieve long-term success and sustainability in their financial investments. It is important to be aware of one’s own biases and limitations, and to constantly monitor and evaluate one’s investment performance and risk exposure. It is also advisable to seek diverse sources of information and opinions, and to be flexible and responsive to market changes and innovations.

😎 Write a short introduction of the CBOE volatility index

🤖 The CBOE volatility index, or VIX, is a measure of the expected volatility of the U.S. stock market over the next 30 days. It is calculated based on the prices of options on the S&P 500 index, which is a broad-based benchmark of the U.S. equity market. The VIX is often referred to as the “fear index” or the “fear gauge” because it tends to rise when investors are nervous or uncertain about the future direction of the market, and fall when they are confident or complacent. The VIX is widely used by traders, investors, and analysts as a tool to gauge market sentiment, hedge against market risk, and speculate on market movements. You can learn more about the VIX from these sources:

Screen capture of a message posted on the website Jika.io om August 24, 2023. Jika.io is a social investment community for investors who want to learn from each other and make better investment decisions. You can join or create chat rooms on various stocks, compare metrics and performance, and access AI-generated insights. Jika.io also lets you share your portfolio and transactions with other investors, and follow the ones you trust. Jika.io is a platform for collaborative investing powered by AI.
Message posted at Jika.io on August 24th 2023. Jika.io is a social investment community for retail investors. Click on the image to access the original post. Check the Social Links page to follow the Reddgr.com profile on this and other social networks

😎 I’m posting a historical chart of the VIX index on my website, which shows how the current value in the range of 15 is significantly below the historical averages. There have been some long periods of time, though, when the index value has been around or below that range, namely 1991-1996, 2003-2007, or 2012-2015. Though nobody owns a crystal ball to predict the long-term future macroeconomic and market trends, I have the theory that the spike in volatility caused by the COVID outbreak in 2020 was a noisy signal that may have imbued investors with a feeling of complacency after volatility went back to low levels. If we exclude the COVID-induced pattern from the historical chart, volatility levels have been generally low since 2012. That’s a very long period that may cause investors to grow a sense of complacency. Are there any recent articles or papers that talk about the VIX index and may have similar or opposing views to what I explained?

🤖 Thank you for sharing your historical chart and your theory about the VIX index and investor complacency. I have searched the web for some recent articles or papers that talk about the VIX index and may have similar or opposing views to what you explained. Here are some of the results I found:

  • Determining Market Direction With VIX – Investopedia: This article explains how the VIX index is constructed and how it can be used as a market-timing indicator. It also provides some historical examples of how the VIX has behaved in different market cycles and how it can be interpreted as a measure of investor fear or complacency. The article suggests that a low VIX level does not necessarily mean that the market is in a bullish phase, but rather that it is in a low-volatility phase, which could be followed by a sudden spike in volatility and a market reversal. The article also warns that the VIX is not a perfect predictor of market direction and that it should be used in conjunction with other indicators and analysis.
  • Investor Complacency and the Case for Defensive Equities (by State Street Global Advisors): This paper argues that equity markets have rallied in 2023 taking the market to more expensive valuations, and that with continued economic uncertainty and investor complacency, the equity market is more vulnerable. The paper advocates for strategies that focus on reducing volatility, such as the MSCI World Minimum Volatility Index, which tends to be more consistent and less prone to negative returns than the MSCI World Index. The paper claims that these strategies can offer better risk-adjusted returns over the longer term and provide protection during periods of market turmoil.
  • CBOE Volatility Index (VIX): what it is and how to trade (by CMC Markets): This article provides an overview of the VIX index, how it is calculated, and how it can be traded using various instruments, such as futures, options, ETFs, and CFDs. The article also explains some of the factors that influence the VIX price, such as supply and demand, market events, and seasonality. The article offers some tips on how to use the VIX as a trading tool, such as using technical analysis, trend lines, support and resistance levels, and indicators to identify entry and exit points, as well as using risk management techniques, such as stop-loss orders and position sizing.
  • VIX index | Learn About the Volatility 75 index | AvaTrade: This article introduces the Volatility 75 index, which is a measure of the volatility of 75 highly volatile stocks from various sectors. The article compares the Volatility 75 index to the VIX index, which measures the volatility of the S&P 500 index. The article states that the Volatility 75 index is more sensitive to market fluctuations and can offer more trading opportunities than the VIX index. The article also provides some information on how to trade the Volatility 75 index using AvaTrade’s platform.
CBOE Volatility Index (^VIX) historical chart. Sourced from Yahoo Finance. Timeframe: February 1990 - September 2023.
CBOE Volatility Index (^VIX) historical chart depicting volatility trends over time. Sourced from Yahoo Finance. Timeframe: February 1990 – September 2023.

✍️ Prompt engineering notes: the chat was useful for the purpose of elaborating on my thoughts about market sentiment analysis, and obtaining some very relevant links and citations. The links are particularly relevant to readers who may be interested in the Stock Market Indexes page and finance-related chats. Overall, Bing Chat proves to be a valuable tool for market research and social media content writing, but notice how the chat exposed a few issues in combining web search with the GPT model when asking about complacency the first time. One of the references was not particularly relevant to the topic of stock market volatility (the one about financial institutions embracing mobile payments). The third reference (J.P. Morgan Asset Management Portfolio Insights) was more relevant, but the model seemed to hallucinate slightly about it’s content, mixing it up with other references.

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