Equities slip into correction
U.S. stocks slid into correction territory this week—Friday’s sell‑off pushed the Dow nearly 800 points and marked a fifth straight weekly loss as consumer sentiment plunged to 53.3 and markets priced more Fed hawkishness. Brent crude topping ~$110/bbl and rising recession chatter are cited as drivers of the drop and elevated volatility. (riotimesonline.com; abc.net.au)
S&P 500 finished the session at 6,368.85, its lowest close in seven months and roughly 9% below the Jan. 28 high that marked the index’s recent peak. (cnbc.com)) The Nasdaq Composite closed at 20,948.36, extending a technology-led pullback that leaves the index about 10% under its October record and well into correction territory on multiple measures. (ad-hoc-news.de)) The Cboe Volatility Index jumped above 31—up about 13% on the day—signalling a material re‑pricing of equity option implied volatility during the sell‑off. (cboe.com)) Benchmark Treasury yields rose alongside equity stress: the 10‑year Treasury traded near 4.44% while the 2‑year sat around 3.9%, putting short‑ and medium‑term yields at multi‑month highs as markets reprice policy risk. (tradingeconomics.com)) Global oil tightened sharply, with Brent trading above $110 and a March‑27 print around $112.57 — a roughly 45% month‑to‑date jump tied to Strait of Hormuz disruptions and escalation fears. (tradingeconomics.com)) Futures traders pushed the market‑implied odds of a Fed policy increase back above 50% for the end of the year, with CME FedWatch signals showing roughly a 52% chance that markets expect higher policy rates by late‑2026. (cnbc.com)) The University of Michigan released the final March consumer‑sentiment report on March 27, noting interviews conducted Feb. 17–Mar. 9 and a one‑year inflation expectation that stalled at about 3.4%, which compounded market concerns about sticky inflation. (sca.isr.umich.edu)) For applied student work tied to this episode: build an event‑study using CRSP daily returns around the March 27 Michigan release and the March oil shocks, estimate a GARCH(1,1) for S&P residuals to capture volatility clustering, and test for heterogeneous sector responses (consumer discretionary vs staples) with a difference‑in‑differences setup. (wrds-www.wharton.upenn.edu)) As a concrete portfolio project, backtest a long‑short sector hedge that shorts a tech ETF vs a long energy futures overlay using historical Brent and CRSP price series, report Sharpe ratio and max drawdown over rolling 6‑ and 12‑month windows, and document code/data access via WRDS/CRSP and public Brent feeds. (wrds-www.wharton.upenn.edu))
