JPMorgan JIVAX Fund and Behavioral Bias Exploitation

JPMorgan's Money Management Business

JPMorgan's money management business provides products such as mutual funds and wealth management services for clients. Its asset management division offers a range of investment products, while its wealth management division focuses on providing recommendations about which products to invest in and what investment decisions clients should make. JPM offers numerous funds for investors, including the JPMorgan Intrepid Value Fund (JIVAX), which aims to exploit behavioral biases in the marketplace to obtain superior returns.

Behavioral Biases JPM Seeks to Exploit

Three behavioral biases that JPM hopes to exploit are overconfidence bias, loss aversion bias, and herd behavior bias. Overconfidence and loss aversion are two behavioral biases JPM looks to exploit when identifying value and momentum anomalies. Herd behavior bias is another target, and it is largely visible in bubble stocks and meme stocks today.

Overconfidence bias can be exploited to obtain superior returns because it reflects the tendency of investors to believe they are more skilled than they actually are. Overconfidence is common among investors and generally leads to ineffective risk management and poor decision-making. A classic example is an investor who has a correct thesis but believes he can also time the market. Timing the market is notoriously difficult, yet an overconfident investor may put everything into a one-sided trade without hedging, leaving himself vulnerable to market fluctuations. A fund like JIVAX can use derivatives and short selling to take the other side of that trade and capitalize on the investor's overconfidence once he is locked into the position waiting for the market to move in his favor.

Loss aversion bias is, in many ways, the opposite of overconfidence. Investors exhibiting loss aversion seek to take almost no risk at all. Because they are more concerned about losing money than about earning alpha, they behave more like savers than investors. They often fail to account for how inflation can erode their savings over time. Investors with loss aversion can be exploited because they are likely to set tight stop-loss orders that can be triggered during a market flush-out, allowing more sophisticated traders to benefit from those forced exits.

Herd behavior bias can most easily be exploited when there is a large, rapid surge in a share price — as happened with GameStop, certain cryptocurrencies such as Dogecoin, and electric vehicle stocks like Rivian and Lucid. As more and more investors pile in without considering underlying value, the stock becomes overvalued and can be shorted. Options strategies — buying puts and selling calls — can also be deployed to take advantage of inflated prices that will fall sharply when momentum reverses. Meme stocks are prime examples of herd behavior: the run-up is almost always followed by an equally swift run-down.

JIVAX Fund Performance vs. the S&P 500

The return to the JIVAX fund from January 31, 2005, to the time of this analysis is as follows:

Starting price: $22.42 | Ending price: $29.55 | Return over the period: 31.8%

The return to the S&P 500 over the same time period is as follows:

Starting price: 1,211.92 | Ending price: 4,343.24 | Return over the period: 284.69%

Reasons for the Performance Gap Between JIVAX and SPY

The primary reason for the difference in performance between JIVAX and the S&P 500 is that JIVAX is actively managed while the S&P 500 index fund is passively managed. Over time, passively managed funds tend to outperform actively managed funds, largely because active trading is extremely difficult — it requires consistently accurate predictions about future market behavior.

Ironically, although JPM attempts to exploit behavioral biases in others, there is no guarantee that its own fund managers are free of those same biases. What prevents them from exhibiting overconfidence, herd activity, or loss aversion in their own strategic approaches to trading? Identifying biases in other market participants does not mean those biases have been eliminated internally. Rooting out bias is, for any investor, nearly impossible.

Notably, JIVAX and SPY were closely correlated from 2005 to 2015. After that, the divergence widened significantly: SPY surged higher over the following six years, while JIVAX traded relatively sideways, range-bound, and never managed to reach new highs.

One factor contributing to this divergence is the emergence of retail investors channeling funds into well-known passive products such as SPY. JIVAX, being relatively less known compared to flagship indexes like the S&P 500 or Nasdaq, is less likely to attract business from retail investors. The retail investor base grew substantially from around 2015 onward, driven by the rise of commission-free trading applications.