Given phrases that describe the relationship between two words/phrases as options, extract the word/phrase pair and the corresponding lexical relationship between them from the input text. The output format should be "relation1: word1, word2; relation2: word3, word4". Options: product/material produced, manufacturer, distributed by, industry, position held, original broadcaster, owned by, founded by, distribution format, headquarters location, stock exchange, currency, parent organization, chief executive officer, director/manager, owner of, operator, member of, employer, chairperson, platform, subsidiary, legal form, publisher, developer, brand, business division, location of formation, creator.

CAR, -3.15% Autos Outperform Axa SA Sponsored ADR AXAHY, -3.37% Autos Outperform Hertz Global Holdings Inc. HTZ, -3.90% Autos Outperform JCDecaux SA JCDXF, -2.35% Bicycles Neutral Shimano Inc. Unsponsored ADR SHMDF, +3.34% Bicycles Neutral HomeAway Inc. AWAY, -2.00% Hotels Neutral TripAdvisor Inc. TRIP, -1.48% Hotels Outperform Amazon.com Inc. AMZN, -2.03% Logistics Outperform Regus PLC RGSJF, -13.95% RGU, -1.53% Office sharing Outperform Lending Club Corp. LC, -1.08% Peer-to-peer lending Neutral Visa Inc. Class A V, -1.34% Peer-to-peer lending Outperform EBay Inc. EBAY, -0.89% Pre-owned goods Neutral MercadoLibre Inc. MELI, -1.70% Pre-owned goods Outperform LinkedIn Corp. Class A LNKD, -0.23% Recruitment Outperform Facebook Inc. Class A FB, -2.30% Social media Outperform Yelp Inc. Class A YELP, -2.16% Social media Outperform Source: Credit Suisse For companies based outside the U.S., with main classes of shares traded on non-U.S. exchanges, we have used tickers for American Depositary Receipts where possible.

Answer: product_or_material_produced: Lending Club, Peer-to-peer lending