AXIOMA ROOF™ SCORE HIGHLIGHTS
WEEK OF OCTOBER 14, 2024
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Note: green background = bullish, red background = bearish
Changes to investor sentiment over the past 180 days for the markets we follow:
How to Interpret These Charts:
Top Charts:
The top charts illustrate the ROOF ratio, which represents investor sentiment. This ratio is depicted in green on the left axis, while the cumulative returns of the underlying market are shown in black on the right axis. Key reference lines include:
- A horizontal red line at -0.5 (left axis), marking the threshold between negative sentiment (-0.2 to -0.5) and bearish sentiment (< -0.5).
- A horizontal blue line at +0.5 (left axis), indicating the boundary between positive sentiment (+0.2 to +0.5) and bullish sentiment (> +0.5).
- A horizontal grey line at 0.0 (left axis), around which sentiment is considered neutral (-0.2 to +0.2).
Bottom Charts:
The bottom charts display the levels of risk tolerance (green line) and risk aversion (red line) within the market, representing investors' demand and supply for risk, respectively. Key insights include:
- When risk tolerance (green line) exceeds risk aversion (red line), more investors are willing to buy risk assets than there are investors willing to sell them at the current price. This scenario forces risk-tolerant investors to offer a premium to entice more risk-averse investors to trade, thereby driving markets upward.
- Conversely, when risk aversion (red line) surpasses risk tolerance (green line), the market dynamics reverse.
The net balance between risk tolerance and risk aversion levels is used to compute the ROOF ratio shown in the top charts, reflecting the sentiment of the average investor in the market.
Blue Shaded Zone:
The blue shaded zone between levels 3 and 4 for both indicators signifies a reasonable balance between the supply and demand for risk in the market. When both lines remain within this blue zone, the market is considered stable. However, when both lines move outside this zone, the significant imbalance in demand and supply for risk can lead to overreactions to unexpected news or risk events.
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