{"id":90920,"date":"2020-04-23T02:26:39","date_gmt":"2020-04-23T00:26:39","guid":{"rendered":"http:\/\/beta.next-finance.net\/news\/mixed-outlook-for-l-s-equity-neutral-and-short-selling\/"},"modified":"2020-05-31T13:28:12","modified_gmt":"2020-05-31T11:28:12","slug":"mixed-outlook-for-l-s-equity-neutral-and-short-selling","status":"publish","type":"post","link":"http:\/\/beta.next-finance.net\/en\/uncategorized\/mixed-outlook-for-l-s-equity-neutral-and-short-selling\/","title":{"rendered":"Mixed outlook for L\/S Equity Neutral and Short-Selling"},"content":{"rendered":"<p>Lyxor\u2019s L\/S Equity Neutral peer group was down -2.8% year-to-date, hurt by extreme trading conditions and the<br \/>\nconstituents\u2019 average market beta of 20%. The environment has been challenging for the strategy amid extreme stock<br \/>\nvolatility and unsettling heavy systematic trading volumes. Moreover, market moves were largely driven by speculative<br \/>\nfactors \u2013 including the Covid-19 outbreak, stimulus decisions, a self-inflicted oil price war \u2013 the impact of which to be<br \/>\nreflected with delay in macro and corporate statistics. As such, stock valuations were of poor relevance, with limited<br \/>\ncompanies\u2019 guidance and lagging analysts\u2019 revisions. As a result, fundamental stock-picking approaches implemented<br \/>\nin neutral strategies \u2013 such as DCF, financial ratio, equity risk premium or fundamental business analysis \u2013 worked poorly<br \/>\nin long books. Additionally, while stock dispersion soared, theoretically opening relative opportunities, the very fast stock<br \/>\nre-correlation (the absolute correlation of the S&amp;P 500 stocks flirted with 0.8) forced neutral strategies to aggressively cut<br \/>\ntheir leverage. All in all, the room for stock-picking alpha shrunk over the crash period. Instead, market timing and risk<br \/>\nmanagement were key differentiators.<br \/>\nWe suspect that neutral portfolio buckets that focused on sector rotations, flow<br \/>\nand liquidity arbitrage, statistical and high-frequency trading, and big data, outperformed.<\/p>\n<p><strong>Notwithstanding these challenging market conditions, L\/S Neutral strategies benefitted from mitigating factors.<\/strong><\/p>\n<p>Unsurprisingly, they recorded positive contributions from their short books, even though short-selling was less profitable<br \/>\nthan in previous bear markets for reasons detailed in the following section. Neutral strategies\u2019 elevated holding<br \/>\ndiversification also helped mitigate the surging stock correlation risk. Additionally, while volatility and dispersion across<br \/>\nquantitative factors surged, their pairwise correlation remained moderate, allowing neutral strategies to navigate some<br \/>\nof the obvious sector rotations (underperformance of consumer discretionary, energy, financial stocks vs. healthcare or<br \/>\nstaples). They generally suffered from their long value, short defensive, and quality positioning, but gained on their long<br \/>\nmomentum and short size holdings. While returns dispersion in our peer group spiked, we find that, on average, neutral<br \/>\nstrategies were down -5% over the crash episode and rebounded +2.5% after the bottom after March 23.<\/p>\n<p>The sanitary phase of the outbreak is gradually coming at an end, with investors now increasingly focusing on the<br \/>\neconomic impact.<br \/>\nAs a result, trading conditions are normalizing and the environment is becoming more fundamentally<br \/>\ndriven, in support for neutral strategies. Yet, the risk from another relapse in trading conditions relative to their moderate<br \/>\nreward were markets to be past the trough for good, is unappealing in our view: we are U\/W.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Lyxor\u2019s L\/S Equity Neutral peer group was down -2.8% year-to-date, hurt by extreme trading conditions and the<br \/>\nconstituents\u2019 average market beta of 20%. The environment has been challenging for the strategy amid extreme stock<br \/>\nvolatility and unsettling heavy systematic trading volumes.<\/p>\n","protected":false},"author":1,"featured_media":90918,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[10],"tags":[2244,2245,2246,2247,2248,2249,2243,2250,2251,2252,2253],"_links":{"self":[{"href":"http:\/\/beta.next-finance.net\/en\/wp-json\/wp\/v2\/posts\/90920"}],"collection":[{"href":"http:\/\/beta.next-finance.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/beta.next-finance.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/beta.next-finance.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/beta.next-finance.net\/en\/wp-json\/wp\/v2\/comments?post=90920"}],"version-history":[{"count":2,"href":"http:\/\/beta.next-finance.net\/en\/wp-json\/wp\/v2\/posts\/90920\/revisions"}],"predecessor-version":[{"id":95019,"href":"http:\/\/beta.next-finance.net\/en\/wp-json\/wp\/v2\/posts\/90920\/revisions\/95019"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/beta.next-finance.net\/en\/wp-json\/wp\/v2\/media\/90918"}],"wp:attachment":[{"href":"http:\/\/beta.next-finance.net\/en\/wp-json\/wp\/v2\/media?parent=90920"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/beta.next-finance.net\/en\/wp-json\/wp\/v2\/categories?post=90920"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/beta.next-finance.net\/en\/wp-json\/wp\/v2\/tags?post=90920"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}