1 00:00:00,120 --> 00:00:03,120 Speaker 1: Borrowers are experiencing delays of up to five weeks as 2 00:00:03,200 --> 00:00:06,040 Speaker 1: banks work to clear a backlog of lending requests. The 3 00:00:06,080 --> 00:00:09,440 Speaker 1: process typically takes just five days, but an influx of 4 00:00:09,480 --> 00:00:12,799 Speaker 1: applications when interest rates dropped last year has created apparently 5 00:00:12,880 --> 00:00:17,360 Speaker 1: a large backlog. Advisor at Loan Market, Michelle Ice among 6 00:00:17,360 --> 00:00:21,720 Speaker 1: it is with us and she's here this evening. Good evening, Hi, 7 00:00:21,880 --> 00:00:25,200 Speaker 1: how are you good? Thanks? Michelle? Is this usual? Is 8 00:00:25,239 --> 00:00:28,160 Speaker 1: this normal? When interest rates drop we start to see 9 00:00:28,200 --> 00:00:31,040 Speaker 1: backlogs at the banks. 10 00:00:31,080 --> 00:00:34,640 Speaker 2: Definitely common when interest rates start to decrease. Of course, 11 00:00:34,760 --> 00:00:37,680 Speaker 2: we saw the OCR drop right before Christmas, so that's 12 00:00:37,800 --> 00:00:41,920 Speaker 2: usually a crunch time regardless. But yeah, it was definitely 13 00:00:41,920 --> 00:00:44,520 Speaker 2: a large backlog, but the banks have managed to clear 14 00:00:44,560 --> 00:00:47,680 Speaker 2: all those. We are seeing now the standard five working 15 00:00:47,760 --> 00:00:49,440 Speaker 2: days for applications, which is great. 16 00:00:49,720 --> 00:00:52,159 Speaker 1: Oh that's good. Was it maybe just a Christmas thing? 17 00:00:52,200 --> 00:00:54,360 Speaker 1: Because I imagine a lot of people want to get 18 00:00:54,400 --> 00:00:58,360 Speaker 1: their ducks in order before Christmas? Do you know, do 19 00:00:58,400 --> 00:01:00,880 Speaker 1: you typically see an increase in applications then too? 20 00:01:02,080 --> 00:01:06,760 Speaker 2: Yeah, definitely. Of course, the OCR decreases absolutely accelerated that, 21 00:01:07,880 --> 00:01:10,240 Speaker 2: so you know, everyone was wanting to do something prior 22 00:01:10,240 --> 00:01:12,360 Speaker 2: to Christmas and also kind of you know, take the 23 00:01:12,400 --> 00:01:15,560 Speaker 2: box in terms of achieving that goal before the year ended. 24 00:01:16,560 --> 00:01:19,520 Speaker 2: But there's a mix of things that caused such a 25 00:01:19,600 --> 00:01:22,240 Speaker 2: large backlog before Christmas, and I think the main thing 26 00:01:22,280 --> 00:01:26,039 Speaker 2: would be obviously, as I said, the OCR change, but 27 00:01:26,120 --> 00:01:28,360 Speaker 2: as well as a change in the regulations in terms 28 00:01:28,360 --> 00:01:31,480 Speaker 2: of now we need to provide so much more information 29 00:01:31,640 --> 00:01:35,240 Speaker 2: to the banks and applications. So the biggest backlog is 30 00:01:35,240 --> 00:01:37,480 Speaker 2: actually the reworked que within the bank, so those the 31 00:01:37,560 --> 00:01:41,679 Speaker 2: applications that haven't been submitted correctly, or there's information missing, 32 00:01:42,440 --> 00:01:45,800 Speaker 2: or they're just more complex applications. That of course causes 33 00:01:45,840 --> 00:01:47,720 Speaker 2: a lot of delay when we needed to go back 34 00:01:47,760 --> 00:01:50,840 Speaker 2: to the clients or the banks, meaning more information. And 35 00:01:50,880 --> 00:01:53,160 Speaker 2: so I think that that's the biggest cause that we 36 00:01:53,200 --> 00:01:53,920 Speaker 2: saw last year. 37 00:01:54,600 --> 00:01:59,120 Speaker 1: Which banks are the quickest, good question. 38 00:01:59,240 --> 00:02:03,400 Speaker 2: It really differens on the type of application we've seen. 39 00:02:03,680 --> 00:02:06,560 Speaker 2: Most banks be very true system at the moment, as 40 00:02:06,560 --> 00:02:09,800 Speaker 2: I said, where our clients were estimating between five to 41 00:02:09,840 --> 00:02:13,040 Speaker 2: seven working days, so they're all very equal at the moment, 42 00:02:13,040 --> 00:02:13,880 Speaker 2: which is really good. 43 00:02:14,320 --> 00:02:16,959 Speaker 1: But typically is this is there a bank you oh, 44 00:02:17,120 --> 00:02:21,839 Speaker 1: I don't want to go through ASB they take ages no, God, 45 00:02:21,960 --> 00:02:22,480 Speaker 1: not at all. 46 00:02:22,600 --> 00:02:26,640 Speaker 2: It's as I said, we advise. Banks are based on 47 00:02:26,680 --> 00:02:29,480 Speaker 2: what the client's doing. So some banks specialized for first 48 00:02:29,520 --> 00:02:32,640 Speaker 2: on buyers, you know, some banks are great for business leanning. 49 00:02:32,680 --> 00:02:34,519 Speaker 2: So it really depends and that's why a lot of 50 00:02:34,560 --> 00:02:37,640 Speaker 2: people work with more good advisors to get that talent 51 00:02:37,680 --> 00:02:39,600 Speaker 2: advice that's going to really suit what they're doing. 52 00:02:40,840 --> 00:02:42,760 Speaker 1: Michelle, thank you very much for that. Good to know 53 00:02:42,840 --> 00:02:45,520 Speaker 1: that it's all back in order now. Michelle Eismonger with us, 54 00:02:45,560 --> 00:02:49,240 Speaker 1: she's the Loan Market adviceor For more from Heather dou 55 00:02:49,240 --> 00:02:51,840 Speaker 1: Glassy Ellen Drive, listen live to news talks. 56 00:02:51,840 --> 00:02:55,040 Speaker 2: It'd be from four pm weekdays, or follow the podcast 57 00:02:55,160 --> 00:02:56,160 Speaker 2: on iHeartRadio