Jessica Jung Sold Her Branded Multi-Million Coat To A Fan For Less Than $30!

Jessica Jung recently became a "part time" vendor at a flea market in Sinsa. She reportedly sold a multi-million coat for less than $30! Jessica recently became a flea market vendor in the streets of Garosu-gil, Sinsa. She sold some of her most expensive things for quite a low and very affordable price.

Numerous fortunate fans and normal people got the chance to own Jessica's expensive stuff. One fan even managed to own this expensive coat Jessica herself wore in 2013. This very expensive coat worn by Jessica was a red Acne Studios shearling coat. According to Koreaboo, this coat originally cost about 4.3 million Korean won (USD $3,805).

The lucky fan got a huge bargain and bought the coat for only 30,000 Korean won (around USD $27)!  She immediately (and happily) showed-off Jessica's multi-million coat by uploading a picture of it on her Instagram account. Lucky!

Jessica also sold other clothes she once wore. There was even this striped cardigan she wore in 2012 on her way to an airport. The flea market held at the streets of Garosu-gil in Sinsa was a host to various vendors. Other than  Jessica, T-ARA's Hyomin was also at the flea market to sell some of her stuff for fans.

In other news, Jessica was previously interviewed by "Marie Claire" Taiwan. As reported by Soompi, Jessica shared her feelings when she was still with Girl's Generation.

"I was quite scared in 2014 when I left Girls' Generation, but I feel like I'm in a new world," said Jessica. "After leaving Girls' Generation, I have a lot more freedom to direct things. I'm almost 30. I want to live for my dream, not for someone else. If I were still a member of Girls' Generation, I wouldn't have experienced these things."

Jessica left Girl's Generation in 2014. Since then, she has launched her own fashion brand "Blanc & Eclaire" and has been very successful ever since.  

Tags
Jessica Jung
Krystal Jung
Girls Generation
SNSD
f(x)
Join the Discussion

Latest Photo Gallery

Real Time Analytics