WEBVTT 00:00:00.000 --> 00:00:05.160 So if we think back to the summer of 2008, the 00:00:05.160 --> 00:00:08.039 price of crude oil hit this massive all -time 00:00:08.039 --> 00:00:11.619 high of, I think it was roughly $147 a barrel. 00:00:11.679 --> 00:00:13.599 Yeah, right around there. It was unprecedented. 00:00:13.960 --> 00:00:17.179 Right. And over the course of just a few months, 00:00:17.539 --> 00:00:21.079 the cost of literally the single most important 00:00:21.079 --> 00:00:23.929 commodity on Earth had essentially doubled. Which 00:00:23.929 --> 00:00:26.410 is terrifying if you're in logistics. Oh, completely. 00:00:26.629 --> 00:00:28.989 I mean, by all the normal laws of physics and 00:00:28.989 --> 00:00:31.109 finance, the global transportation industry should 00:00:31.109 --> 00:00:33.090 have just instantly collapsed. It should have 00:00:33.090 --> 00:00:36.289 snapped. Exactly. Airlines, which already operate 00:00:36.289 --> 00:00:39.369 on these razor thin margins, they should have 00:00:39.369 --> 00:00:42.509 grounded their fleets. Massive ocean freighters 00:00:42.509 --> 00:00:44.429 should have dropped anchor because they just 00:00:44.429 --> 00:00:46.609 couldn't afford the fuel to cross the Pacific. 00:00:46.649 --> 00:00:49.539 Right. And the cost of like a gallon of milk 00:00:49.539 --> 00:00:51.740 or a pair of sneakers should have quadrupled 00:00:51.740 --> 00:00:54.500 overnight. But, and this is the crazy part, that 00:00:54.500 --> 00:00:56.600 didn't happen. No, it didn't. The planes kept 00:00:56.600 --> 00:00:59.640 flying, the ships kept sailing, and the global 00:00:59.640 --> 00:01:01.439 economy, well, at least the physical logistics 00:01:01.439 --> 00:01:03.960 part of it, it just kept moving. And the reason 00:01:03.960 --> 00:01:06.920 it didn't snap is because of this hidden financial 00:01:06.920 --> 00:01:09.000 shield that most of us never even think about. 00:01:09.359 --> 00:01:11.540 It really is an invisible architecture. I mean, 00:01:11.640 --> 00:01:14.359 when you build a global supply chain, on top 00:01:14.359 --> 00:01:17.420 of a commodity whose price can just swing wildly 00:01:17.420 --> 00:01:19.840 based on, say, a single geopolitical event. Right, 00:01:20.019 --> 00:01:22.340 like one news headline. Exactly. You are dealing 00:01:22.340 --> 00:01:25.099 with a fundamentally volatile foundation. So 00:01:25.099 --> 00:01:28.450 to survive that... These massive companies rely 00:01:28.450 --> 00:01:31.909 on an incredibly specialized ecosystem to absorb 00:01:31.909 --> 00:01:34.969 the shock of those price spikes. So the consumer 00:01:34.969 --> 00:01:37.409 never feels the full force of the blow. Right. 00:01:37.750 --> 00:01:39.750 Well, welcome to The Deep Dive. Today we have 00:01:39.750 --> 00:01:42.370 a very specific mission. For you listening, we're 00:01:42.370 --> 00:01:45.069 taking a Wikipedia article titled Fuel Price 00:01:45.069 --> 00:01:47.450 Risk Management, and we are going to extract 00:01:47.450 --> 00:01:50.329 the actual real world mechanics of how this shield 00:01:50.329 --> 00:01:52.430 works. Which is a lot more complex than it sounds. 00:01:52.670 --> 00:01:54.409 Oh, yeah. We're going to look at that massive 00:01:54.409 --> 00:01:56.349 players involved, the psychological playbooks 00:01:56.349 --> 00:01:59.370 they use, and ultimately this mathematical formula 00:01:59.370 --> 00:02:01.890 that proves there's a physical way to bypass 00:02:01.890 --> 00:02:04.849 Wall Street entirely. And that's a crucial journey, 00:02:05.010 --> 00:02:07.870 really, because we need to understand that managing 00:02:07.870 --> 00:02:10.969 fuel prices isn't just about, you know, a logistics 00:02:10.969 --> 00:02:13.090 manager sitting there doing simple budgeting. 00:02:13.150 --> 00:02:17.090 Right. It is a highly complex intersection of 00:02:17.090 --> 00:02:19.789 financial risk management, oil price analysis, 00:02:20.250 --> 00:02:24.120 and surprisingly, human psychology. Yeah, I know 00:02:24.120 --> 00:02:26.319 fuel price risk management sounds like the title 00:02:26.319 --> 00:02:29.240 of a dry corporate seminar. But OK, let's unpack 00:02:29.240 --> 00:02:31.639 this because before we can understand the frameworks 00:02:31.639 --> 00:02:34.240 they use to protect the economy, we really have 00:02:34.240 --> 00:02:36.340 to understand the language they're speaking. 00:02:36.479 --> 00:02:38.500 The terminology is key here. Yeah. The source 00:02:38.500 --> 00:02:40.280 points out that depending on who you are in the 00:02:40.280 --> 00:02:42.659 global supply chain, you actually use completely 00:02:42.659 --> 00:02:45.360 different terminology for the exact same practice. 00:02:45.659 --> 00:02:48.699 That's right. Context is everything here. So 00:02:48.699 --> 00:02:50.860 if you're operating in the aviation sector like 00:02:51.199 --> 00:02:54.060 flying passenger jets or cargo planes, or if 00:02:54.060 --> 00:02:55.819 you're in the trucking industry hauling freight 00:02:55.819 --> 00:02:58.580 across land. Basically anything on land or in 00:02:58.580 --> 00:03:01.120 the air? Right. This practice is universally 00:03:01.120 --> 00:03:03.900 referred to as fuel hedging. It's straight forward. 00:03:04.000 --> 00:03:05.699 It describes exactly what's happening. Right. 00:03:05.699 --> 00:03:07.680 But if you move over to the marine and shipping 00:03:07.680 --> 00:03:10.000 context, you know, those massive container ships 00:03:10.000 --> 00:03:12.520 out on the ocean, they don't call it fuel hedging. 00:03:12.759 --> 00:03:15.479 They call it bunker hedging, which honestly sounds 00:03:15.479 --> 00:03:18.439 way cooler. It does carry a bit more historical 00:03:18.439 --> 00:03:22.099 weight. The bunker refers to the literal storage 00:03:22.099 --> 00:03:24.860 tanks for that heavy, viscous fuel oil that those 00:03:24.860 --> 00:03:26.840 ships burn. Oh, gotcha. But whether you call 00:03:26.840 --> 00:03:29.539 it fuel hedging or bunker hedging, the financial 00:03:29.539 --> 00:03:32.879 mechanism operating behind the scenes is identical. 00:03:33.120 --> 00:03:35.379 It's basically like regional dialects. You know, 00:03:35.379 --> 00:03:37.819 it's like how someone in Atlanta asks for a soda 00:03:37.819 --> 00:03:40.319 and someone in Chicago asks for a pop. Right. 00:03:40.379 --> 00:03:42.319 Exactly. The underlying concept is the same. 00:03:42.400 --> 00:03:45.180 You want a carbonated beverage, but the dialect 00:03:45.180 --> 00:03:48.300 changes depending on whether you're flying a 00:03:48.300 --> 00:03:52.000 Boeing 747 or steering a colossal cargo ship. 00:03:52.139 --> 00:03:54.120 That's a great way to put it. But before we get 00:03:54.120 --> 00:03:57.240 into who is providing these services, I want 00:03:57.240 --> 00:03:59.960 to pause and make sure we actually define what 00:03:59.960 --> 00:04:03.379 hedging mechanically is. Because the source uses 00:04:03.379 --> 00:04:05.919 the term constantly, but how does it actually 00:04:05.919 --> 00:04:08.120 work in the real world? That is the essential 00:04:08.120 --> 00:04:11.939 question. Stripped to its core, a hedge is basically 00:04:11.939 --> 00:04:14.599 a financial contract that locks in a future price 00:04:14.599 --> 00:04:17.500 today. OK. Let's say an airline knows it needs 00:04:17.500 --> 00:04:20.319 a million gallons of jet fuel next summer to 00:04:20.319 --> 00:04:23.339 fly its scheduled routes. Right now, fuel is, 00:04:23.339 --> 00:04:26.300 let's say, $3 a gallon. They can afford that, 00:04:26.300 --> 00:04:29.060 but they're terrified that some conflict might 00:04:29.060 --> 00:04:31.899 break out and spike the price to $5 a gallon 00:04:31.899 --> 00:04:35.009 by July. Right. Which would completely wipe out 00:04:35.009 --> 00:04:36.750 their profit margin and potentially bankrupt 00:04:36.750 --> 00:04:38.509 them. So they can't just cross their fingers, 00:04:38.629 --> 00:04:40.750 wait until July and pay whatever the pump price 00:04:40.750 --> 00:04:43.750 is. They need certainty. Exactly. So the airline 00:04:43.750 --> 00:04:46.110 goes to a financial institution and buys a futures 00:04:46.110 --> 00:04:48.850 contract. They effectively say, look, I will 00:04:48.850 --> 00:04:51.750 pay you a premium right now. And in exchange, 00:04:51.850 --> 00:04:54.250 you guarantee me the right to buy my fuel at 00:04:54.250 --> 00:04:56.110 three dollars a gallon next summer. No matter 00:04:56.110 --> 00:04:58.029 what. Right. No matter what the actual market 00:04:58.029 --> 00:05:00.310 price does. Let me try to put this in consumer 00:05:00.310 --> 00:05:04.069 terms. It sounds exactly like choosing a fixed 00:05:04.069 --> 00:05:06.790 -rate mortgage over an adjustable -rate mortgage. 00:05:07.129 --> 00:05:09.629 Oh, that's a perfect analogy. Right. Because 00:05:09.629 --> 00:05:12.170 if I buy a house with a fixed -rate mortgage, 00:05:12.829 --> 00:05:16.250 I'm paying the bank a slight premium, a slightly 00:05:16.250 --> 00:05:18.790 higher interest rate upfront, for the guarantee 00:05:18.790 --> 00:05:22.040 that my monthly payment will never change. Even 00:05:22.040 --> 00:05:24.560 if national interest rates skyrocket five years 00:05:24.560 --> 00:05:27.240 from now, I'm covered. I'm basically trading 00:05:27.240 --> 00:05:29.800 potential savings for absolute budget certainty. 00:05:30.060 --> 00:05:32.579 That is spot on. The airline is buying budget 00:05:32.579 --> 00:05:34.939 certainty. Now, if the summer arrives and the 00:05:34.939 --> 00:05:37.079 real press of fuels has actually dropped to $2, 00:05:37.980 --> 00:05:39.759 the airline still has to honor their contract. 00:05:40.220 --> 00:05:42.339 Oh, so they end up losing out a bit. Right. They 00:05:42.339 --> 00:05:44.600 swallow the cost of a hedge, meaning they overpaid. 00:05:44.699 --> 00:05:48.269 Right. But if the price spikes to $5, the institution 00:05:48.269 --> 00:05:50.290 that sold them the contract has to eat that $2 00:05:50.290 --> 00:05:52.389 difference. So the airline is protected. Which 00:05:52.389 --> 00:05:55.149 brings us to the ecosystem of who is actually 00:05:55.149 --> 00:05:57.670 selling these contracts and managing this risk. 00:05:58.110 --> 00:06:00.649 Because the source material breaks down the providers 00:06:00.649 --> 00:06:03.709 into five massive sectors. And it's definitely 00:06:03.709 --> 00:06:05.829 not just the airlines doing this in some back 00:06:05.829 --> 00:06:08.689 office. Not at all. I mean, it requires a staggering 00:06:08.689 --> 00:06:11.589 amount of capital to absorb global commodity 00:06:11.589 --> 00:06:14.720 risk. First, you have specialist teams within 00:06:14.720 --> 00:06:17.139 dedicated fuel management companies. Like who? 00:06:17.720 --> 00:06:21.160 Groups like Mercatus Energy Advisors, INTL, FC 00:06:21.160 --> 00:06:24.019 Stone, World Fuel Services, Onyx Capital Advisory. 00:06:24.459 --> 00:06:26.839 Their entire business model is built around advising 00:06:26.839 --> 00:06:29.360 companies on navigating this specific volatility. 00:06:29.620 --> 00:06:31.579 Okay, that makes logical sense to me. You have 00:06:31.579 --> 00:06:33.779 fuel experts helping transportation companies 00:06:33.779 --> 00:06:36.430 manage fuel. Right. Then you have the physical 00:06:36.430 --> 00:06:38.930 suppliers themselves, the major oil companies 00:06:38.930 --> 00:06:41.290 offering these services directly to their massive 00:06:41.290 --> 00:06:44.870 clients. So Total SA, Royal Dutch Shell, Exxon 00:06:44.870 --> 00:06:47.649 Mobil, Koch Industries, BP. Again, that tracks. 00:06:47.790 --> 00:06:49.250 I mean, they pull the oil out of the ground, 00:06:49.350 --> 00:06:50.910 they refine it, and they help you lock in the 00:06:50.910 --> 00:06:52.810 price of it. But the list takes a pretty hard 00:06:52.810 --> 00:06:55.189 left turn with the next three sectors. It really 00:06:55.189 --> 00:06:57.740 does. Because the third sector is purely financial 00:06:57.740 --> 00:07:01.500 institutions. The source explicitly lists BNP, 00:07:01.500 --> 00:07:04.600 Paribas, Goldman Sachs, JP Morgan, Barclays, 00:07:04.779 --> 00:07:07.680 Macquarie Bank, Citigroup, Morgan Stanley, and 00:07:07.680 --> 00:07:11.019 believe it or not, Wells Fargo. Wow. And alongside 00:07:11.019 --> 00:07:13.800 them, you have global utilities like EDF and 00:07:13.800 --> 00:07:16.220 finally independent algorithmic trading companies 00:07:16.220 --> 00:07:19.500 like DRW and Optifer. OK, I have to push back 00:07:19.500 --> 00:07:22.379 here. I understand BP selling a hedge. I get 00:07:22.379 --> 00:07:25.569 a dedicated fuel advisor. But why on earth is 00:07:25.569 --> 00:07:28.610 a consumer bank like Wells Fargo or, you know, 00:07:28.769 --> 00:07:30.810 an elite Wall Street firm like Goldman Sachs 00:07:30.810 --> 00:07:33.569 deeply involved in how a regional trucking company 00:07:33.569 --> 00:07:36.029 buys its diesel? It seems disconnected, doesn't 00:07:36.029 --> 00:07:38.990 it? Totally. And furthermore, why is an independent 00:07:38.990 --> 00:07:41.569 algorithmic trading firm like Uptiver in this 00:07:41.569 --> 00:07:43.970 mix? They don't own trucks. They don't own oil 00:07:43.970 --> 00:07:46.149 rigs. What's fascinating here is that to those 00:07:46.149 --> 00:07:48.810 financial institutions, fuel volatility isn't 00:07:48.810 --> 00:07:51.250 a physical logistical problem at all. They aren't 00:07:51.250 --> 00:07:53.089 looking at a fleet of trucks and calculating 00:07:53.089 --> 00:07:55.600 miles per gallon right because fuel risk is a 00:07:55.600 --> 00:07:57.939 specialization of financial risk management the 00:07:57.939 --> 00:08:00.420 volatility of the price is itself a tradable 00:08:00.420 --> 00:08:03.660 commodity wait so to Goldman Sachs the anxiety 00:08:03.660 --> 00:08:06.819 that an airline has about summer jet fuel prices 00:08:06.819 --> 00:08:10.500 is just a product a product they can price package 00:08:10.500 --> 00:08:13.720 and sell precisely they are acting as the shock 00:08:13.720 --> 00:08:16.279 absorbers for the global economy but they're 00:08:16.279 --> 00:08:19.660 doing it for a profit huh They use massive pools 00:08:19.660 --> 00:08:22.360 of capital and complex mathematical models to 00:08:22.360 --> 00:08:24.279 take on the risk that the airline is trying to 00:08:24.279 --> 00:08:26.480 offload. They might hedge their own exposure 00:08:26.480 --> 00:08:28.899 by trading other commodities, or they might just 00:08:28.899 --> 00:08:31.439 absorb the risk across a massive diversified 00:08:31.439 --> 00:08:33.659 portfolio. And what about the independent traders? 00:08:33.960 --> 00:08:36.000 Independent traders like Optifer, they're in 00:08:36.000 --> 00:08:38.259 the market providing liquidity. They're basically 00:08:38.259 --> 00:08:41.580 looking for microscopic price discrepancies to 00:08:41.580 --> 00:08:43.480 make a profit. So you basically have independent 00:08:43.480 --> 00:08:46.539 arbitrage traders, massive utilities, Wall Street 00:08:46.539 --> 00:08:49.519 investment banks, mega oil corporations, and 00:08:49.519 --> 00:08:52.080 boutique advisors all swirling around in the 00:08:52.080 --> 00:08:54.360 exact same market. And they're just moving risk 00:08:54.360 --> 00:08:56.419 back and forth so a cargo ship can cross the 00:08:56.419 --> 00:08:58.460 ocean with a predictable budget. That's it. It 00:08:58.460 --> 00:09:00.940 is an incredibly intricate web of risk transfer. 00:09:01.159 --> 00:09:03.440 Which naturally leads to an obvious problem. 00:09:03.659 --> 00:09:06.120 If all of these sprawling global entities are 00:09:06.120 --> 00:09:08.700 involved, and they're handling billions of dollars 00:09:08.700 --> 00:09:11.240 in abstract derivatives, how do they orchestrate 00:09:11.240 --> 00:09:13.580 it without the whole thing just collapsing into 00:09:13.580 --> 00:09:16.299 absolute chaos? Yeah, you need structure. Right. 00:09:16.679 --> 00:09:19.639 They must have an agreed upon methodology, like 00:09:19.639 --> 00:09:22.820 a playbook. They do. In fact, the source material 00:09:22.820 --> 00:09:26.480 outlines two distinct cyclical frameworks for 00:09:26.480 --> 00:09:29.200 how an organization should approach fuel price 00:09:29.200 --> 00:09:32.500 risk management. These are essentially the methodologies 00:09:32.500 --> 00:09:35.039 that keep the corporate anxiety organized. All 00:09:35.039 --> 00:09:36.679 right, let's look at these playbooks. How does 00:09:36.679 --> 00:09:39.200 the first one work? So the first process is broadly 00:09:39.200 --> 00:09:42.500 defined as the four -step method, and it aligns 00:09:42.500 --> 00:09:44.759 very closely with conventional classical risk 00:09:44.759 --> 00:09:47.889 management theory. Step one is establishing the 00:09:47.889 --> 00:09:50.529 context. Okay. This means stepping back and analyzing 00:09:50.529 --> 00:09:53.049 the business environment, the company's financial 00:09:53.049 --> 00:09:56.389 position, its strategic objectives, and crucially 00:09:56.389 --> 00:09:59.129 its required fuel consumption. You have to map 00:09:59.129 --> 00:10:00.889 the territory. Basically getting a baseline. 00:10:01.009 --> 00:10:03.210 Yeah. Figuring out exactly how much fuel you 00:10:03.210 --> 00:10:06.149 actually need just to survive the year. Exactly. 00:10:06.350 --> 00:10:09.019 Then step two is risk assessment. This is where 00:10:09.019 --> 00:10:11.299 the heavy lifting really happens. It involves 00:10:11.299 --> 00:10:14.320 fuel cost calculations, identifying specific 00:10:14.320 --> 00:10:16.879 vulnerabilities, and running mathematical scenarios 00:10:16.879 --> 00:10:19.419 of various hedging strategies. Okay. It's an 00:10:19.419 --> 00:10:22.659 exposure analysis. But importantly, this is also 00:10:22.659 --> 00:10:24.840 the step where an organization has to define 00:10:24.840 --> 00:10:28.659 its attitude to risk. Attitude to risk. I find 00:10:28.659 --> 00:10:30.899 that phrasing really interesting for a dry corporate 00:10:30.899 --> 00:10:32.899 document. Let's pin that because I want to come 00:10:32.899 --> 00:10:35.539 back to it. So what happens after the assessment? 00:10:35.820 --> 00:10:38.220 Step three is risk treatment, which is the actual 00:10:38.220 --> 00:10:40.379 execution. This is when they actually go into 00:10:40.379 --> 00:10:42.539 the market and buy the hedges from J .T. Morgan 00:10:42.539 --> 00:10:45.519 or BP. Got it. And step four is simply monitor 00:10:45.519 --> 00:10:48.360 and review. Because the market is always moving, 00:10:48.720 --> 00:10:50.840 the process has to be continuous and cyclical. 00:10:51.200 --> 00:10:53.919 OK. So context, assessment, treatment, review. 00:10:54.200 --> 00:10:57.039 It's clean. It's logical. It feels very standard 00:10:57.039 --> 00:10:59.799 for corporate governance. But you mentioned the 00:10:59.799 --> 00:11:02.000 source provides an alternative clay book. Yes. 00:11:02.159 --> 00:11:04.019 The alternative framework is called the seven 00:11:04.019 --> 00:11:06.320 step de novo method. Seven steps. Let's hear 00:11:06.320 --> 00:11:09.980 them. All right. Step one, identify, analyze 00:11:09.980 --> 00:11:13.759 and quantify the fuel related risks. Step two, 00:11:14.259 --> 00:11:16.659 determine tolerance for risk and develop a fuel 00:11:16.659 --> 00:11:19.419 price risk management policy. OK. Step three. 00:11:19.610 --> 00:11:22.250 develop fuel price risk management implementation 00:11:22.250 --> 00:11:25.649 strategies. Step four, establish controls and 00:11:25.649 --> 00:11:28.909 procedures. Right. Step five, initial implementation 00:11:28.909 --> 00:11:32.809 of the strategies. Step six, monitor, analyze, 00:11:32.929 --> 00:11:36.350 and reporting. And step seven, repeat the process 00:11:36.350 --> 00:11:39.110 on an as -needed basis. I mean, I'm looking at 00:11:39.110 --> 00:11:41.309 these two methods side by side, and I'm honestly 00:11:41.309 --> 00:11:44.009 a bit skeptical. The seven -step de novo method 00:11:44.009 --> 00:11:46.879 just sounds like pure consulting jargon. How 00:11:46.879 --> 00:11:48.700 so? Well, it sounds like someone took the four 00:11:48.700 --> 00:11:50.419 -step method and stretched it out just to make 00:11:50.419 --> 00:11:52.580 it look more comprehensive on like a PowerPoint 00:11:52.580 --> 00:11:55.120 slide. Identify risks and determine tolerance 00:11:55.120 --> 00:11:56.799 and the seven -step method seem like they're 00:11:56.799 --> 00:11:58.799 just the exact same things happening in the assessment 00:11:58.799 --> 00:12:00.879 phase of the four -step method. I can see why 00:12:00.879 --> 00:12:02.940 you'd say that. Right. Is there a functional 00:12:02.940 --> 00:12:05.299 philosophical difference here or is it just semantic 00:12:05.299 --> 00:12:08.120 padding? That is a very sharp critique. And on 00:12:08.120 --> 00:12:10.200 a purely mechanical level, you're right. They 00:12:10.200 --> 00:12:13.120 are achieving the exact same end goal. Both are 00:12:13.120 --> 00:12:15.559 cyclical, both require analyzing the market before 00:12:15.559 --> 00:12:18.899 buying a hedge. But there is a profound philosophical 00:12:18.899 --> 00:12:21.700 difference. Really? What is it? The seven -step 00:12:21.700 --> 00:12:25.039 de novo method explicitly isolates certain actions 00:12:25.039 --> 00:12:27.500 as mandatory checkpoints before any money is 00:12:27.500 --> 00:12:30.460 spent. Specifically, it forces an organization 00:12:30.460 --> 00:12:33.220 to pause and formally determine tolerance for 00:12:33.220 --> 00:12:36.679 risk and establish controls and procedures as 00:12:36.679 --> 00:12:40.440 distinct unavoidable steps. Oh, so it's an artificial 00:12:40.440 --> 00:12:42.559 speed bump. It's literally forcing the boardroom 00:12:42.559 --> 00:12:44.700 to build the guardrails before they let the trader 00:12:44.700 --> 00:12:47.000 start driving the car. That's exactly what it 00:12:47.000 --> 00:12:49.240 is. And it highlights the reality of what fuel 00:12:49.240 --> 00:12:51.500 price risk management actually is at its core. 00:12:52.240 --> 00:12:53.940 When we talk about this topic, the terminology 00:12:53.940 --> 00:12:56.659 is incredibly clinical. We use words like quantification, 00:12:57.279 --> 00:12:59.200 exposure analysis, derivatives. Very sterile 00:12:59.200 --> 00:13:01.480 words. Right. But sitting right in the center 00:13:01.480 --> 00:13:03.759 of all this rigid corporate math are phrases 00:13:03.759 --> 00:13:06.940 like attitude to risk and determined tolerance. 00:13:07.240 --> 00:13:09.379 Because attitude and tolerance aren't mathematical 00:13:09.379 --> 00:13:12.440 formulas. They are human emotions. They are completely 00:13:12.440 --> 00:13:16.080 psychological. An airline's tolerance for risk 00:13:16.080 --> 00:13:19.240 is not decided by some algorithm. It is decided 00:13:19.240 --> 00:13:21.620 by a group of human beings sitting around a boardroom 00:13:21.620 --> 00:13:24.080 table, grappling with their own psychological 00:13:24.080 --> 00:13:26.500 comfort levels regarding a totally uncertain 00:13:26.500 --> 00:13:29.940 future. Wow. You know, a CEO might want to gamble 00:13:29.940 --> 00:13:32.840 that oil prices will drop so they can maximize 00:13:32.840 --> 00:13:35.179 quarterly profits, while the chief financial 00:13:35.179 --> 00:13:38.240 officer might be absolutely terrified of a price 00:13:38.240 --> 00:13:41.000 spike and demand the budget certainty of a hedge. 00:13:41.259 --> 00:13:42.960 I see what you mean. The seven -step method is 00:13:42.960 --> 00:13:45.340 essentially saying, hey, before we call Goldman 00:13:45.340 --> 00:13:48.559 Sachs, we need to formally agree on how terrified 00:13:48.559 --> 00:13:50.440 we are of the future, and we need to write down 00:13:50.440 --> 00:13:52.700 the rules for how we handle that terror. Exactly. 00:13:53.059 --> 00:13:55.639 So Morgan Stanley and BP are executing these 00:13:55.639 --> 00:13:58.580 massive financial maneuvers based in on a transportation 00:13:58.580 --> 00:14:01.559 company's collective anxiety. The math is just 00:14:01.559 --> 00:14:04.139 the tool they use to service the emotion. Precisely. 00:14:04.440 --> 00:14:07.039 It is corporate psychology disguised as an Excel 00:14:07.039 --> 00:14:10.059 spreadsheet. Okay, so up until this point, everything 00:14:10.059 --> 00:14:12.200 we've discussed involves financial abstraction. 00:14:12.509 --> 00:14:15.370 We are talking about paper contracts, a shipping 00:14:15.370 --> 00:14:18.429 company paying a Wall Street bank a premium to 00:14:18.429 --> 00:14:20.509 take on their anxiety about the future price 00:14:20.509 --> 00:14:23.269 of bunker fuel. Right. But the source material 00:14:23.269 --> 00:14:26.149 introduces a completely different, intensely 00:14:26.149 --> 00:14:29.509 physical way to reduce this exact same risk. 00:14:29.889 --> 00:14:32.570 Like, what if you just bypass the financial institutions 00:14:32.570 --> 00:14:35.330 entirely and simply engineer your operations 00:14:35.330 --> 00:14:38.409 to use less fuel? This is where we transition 00:14:38.409 --> 00:14:41.090 from financial derivatives to real capital investments. 00:14:41.850 --> 00:14:44.090 The source introduces a concept that completely 00:14:44.090 --> 00:14:46.269 changes the paradigm of how we view efficiency. 00:14:46.909 --> 00:14:49.049 OK. Traditionally, energy efficiency measures 00:14:49.049 --> 00:14:52.110 like better insulation in a building or more 00:14:52.110 --> 00:14:54.029 aerodynamic trucks. Yeah. They're viewed simply 00:14:54.029 --> 00:14:56.450 as a way to lower a monthly utility or fuel bill. 00:14:56.710 --> 00:14:59.009 Right. Direct cost savings. You burn less diesel, 00:14:59.090 --> 00:15:01.809 you just pay for less diesel. Simple math. But 00:15:01.809 --> 00:15:04.129 the source argues that these physical improvements 00:15:04.129 --> 00:15:07.370 act as a hard financial hedge that reduces exposure 00:15:07.370 --> 00:15:09.929 to fuel price risk. Because if your baseline 00:15:09.929 --> 00:15:13.029 consumption of fuel is significantly lower, a 00:15:13.029 --> 00:15:15.450 correspondingly smaller component of your overall 00:15:15.450 --> 00:15:18.629 corporate budget is susceptible to those wild 00:15:18.629 --> 00:15:20.929 fluctuations in the global market. So if I need 00:15:20.929 --> 00:15:24.269 50 % less fuel to fly my planes, a sudden spike 00:15:24.269 --> 00:15:26.850 in the price of fuel hurts me 50 % less than 00:15:26.850 --> 00:15:29.230 it hurts my competitor. Exactly. But the source 00:15:29.230 --> 00:15:31.690 material gets mathematically specific about this, 00:15:31.809 --> 00:15:34.149 doesn't it? It isn't just some vague, feel -good 00:15:34.149 --> 00:15:37.230 theory about going green. No, it is highly specific. 00:15:37.649 --> 00:15:40.370 The value of this risk reduction can be mathematically 00:15:40.370 --> 00:15:42.789 calculated using something called the Tuominen 00:15:42.789 --> 00:15:44.990 -Seppenden method. OK, walk me through the mechanics 00:15:44.990 --> 00:15:47.230 of the Tuominen -Seppenden method. How does it 00:15:47.230 --> 00:15:49.929 work? According to this method, the risk reduction 00:15:49.929 --> 00:15:52.330 provided by physical energy efficiency actually 00:15:52.330 --> 00:15:55.409 has a provable secondary financial value. When 00:15:55.409 --> 00:15:57.509 you evaluate an energy -efficient building or 00:15:57.509 --> 00:16:00.970 an asset, You normally calculate the direct savings 00:16:00.970 --> 00:16:04.169 from using less energy. But the Twalman and Sepinon 00:16:04.169 --> 00:16:06.769 method proves that the reduced exposure to price 00:16:06.769 --> 00:16:09.129 volatility, meaning the fact that you no longer 00:16:09.129 --> 00:16:11.049 need to buy as many expensive financial hedges 00:16:11.049 --> 00:16:13.669 from Wall Street to protect your budget, that 00:16:13.669 --> 00:16:16.590 adds an additional hidden value. Really? How 00:16:16.590 --> 00:16:19.029 much? For a typical energy -efficient building, 00:16:19.450 --> 00:16:22.289 the value of that specific risk reduction is 00:16:22.289 --> 00:16:25.710 approximately 10%. Wait, so just to be crystal 00:16:25.710 --> 00:16:28.730 clear, that 10 %... isn't the savings on the 00:16:28.730 --> 00:16:31.909 energy bill itself. No. The 10 % value is a bonus 00:16:31.909 --> 00:16:34.570 on top of the direct cost savings of using less 00:16:34.570 --> 00:16:36.710 energy. Here's where it gets really interesting. 00:16:36.909 --> 00:16:38.710 Let me try to build an analogy to ground this. 00:16:38.809 --> 00:16:40.990 It's like buying a smaller house. OK, let's hear 00:16:40.990 --> 00:16:44.129 it. If I buy a 1500 square foot house instead 00:16:44.129 --> 00:16:47.049 of a 3000 square foot house, I am obviously saving 00:16:47.049 --> 00:16:49.330 money directly on my monthly heating and cooling 00:16:49.330 --> 00:16:51.570 bills. That is the direct cot savings. Right. 00:16:51.669 --> 00:16:53.970 But by physically having a smaller house, I am 00:16:53.970 --> 00:16:57.149 also actively shrinking my exposure to future 00:16:57.149 --> 00:17:00.549 unpredictable chaos. There is literally less 00:17:00.549 --> 00:17:03.149 roof area that could suffer hail damage. There 00:17:03.149 --> 00:17:05.670 are fewer linear feet of plumbing pipe that could 00:17:05.670 --> 00:17:08.970 potentially burst in a freeze. So by shrinking 00:17:08.970 --> 00:17:11.779 my physical footprint, I have embedded a hidden 00:17:11.779 --> 00:17:14.799 hedge against future repair costs. If we connect 00:17:14.799 --> 00:17:17.319 this to the bigger picture, your smaller house 00:17:17.319 --> 00:17:20.220 analogy captures the exact mechanism of the Tuominin 00:17:20.220 --> 00:17:23.700 -Sepinin method. It completely reframes how an 00:17:23.700 --> 00:17:25.759 organization should view capital investments 00:17:25.759 --> 00:17:28.539 in efficiency. How so? Well, it moves efficiency 00:17:28.539 --> 00:17:30.839 out of the sustainability department and puts 00:17:30.839 --> 00:17:32.859 it squarely into the risk management department. 00:17:33.180 --> 00:17:36.599 Physical efficiency is a literal mathematical 00:17:36.599 --> 00:17:38.880 substitute for the complex financial hedging 00:17:38.880 --> 00:17:41.220 provided by investment banks. That is a profound 00:17:41.220 --> 00:17:43.059 shift in leverage. I mean, you don't have to 00:17:43.059 --> 00:17:45.460 call up Wells Fargo or JP Morgan and pay them 00:17:45.460 --> 00:17:47.920 a premium to absorb your risk if you just invest 00:17:47.920 --> 00:17:50.000 that capital into upgrading your truck engines 00:17:50.000 --> 00:17:52.700 or insulating your facility. You are creating 00:17:52.700 --> 00:17:55.039 your own hedge in the physical world through 00:17:55.039 --> 00:17:57.960 engineering rather than through finance. And 00:17:57.960 --> 00:18:00.299 this method proves that physical hedge is worth 00:18:00.299 --> 00:18:04.069 a 10 % bonus on top of what you save at the meter. 00:18:04.359 --> 00:18:06.779 It takes the power away from the abstract derivatives 00:18:06.779 --> 00:18:09.359 market and anchors it right back into tangible 00:18:09.359 --> 00:18:11.819 infrastructure. It bridges the gap perfectly. 00:18:12.380 --> 00:18:15.220 We started this deep dive looking at what seemed 00:18:15.220 --> 00:18:18.680 like completely impenetrable corporate jargon. 00:18:18.680 --> 00:18:21.819 We unpacked how bunker hedging and fuel hedging 00:18:21.819 --> 00:18:24.700 are actually just futures contracts managed by 00:18:24.700 --> 00:18:27.599 this massive ecosystem of oil giants, Wall Street 00:18:27.599 --> 00:18:31.019 banks and algorithmic traders. We saw how those 00:18:31.019 --> 00:18:33.640 players use cyclical four -step and seven -step 00:18:33.710 --> 00:18:36.309 playbooks to essentially put a mathematical price 00:18:36.309 --> 00:18:38.890 tag on a boardroom's psychological anxiety about 00:18:38.890 --> 00:18:41.059 the future. They provide the financial shock 00:18:41.059 --> 00:18:43.660 absorbers for the global economy. But then we 00:18:43.660 --> 00:18:45.640 drill all the way down to the physical level, 00:18:45.640 --> 00:18:48.339 and we find that Tuamid and Seponin method, which 00:18:48.339 --> 00:18:50.819 proves that making a single building more energy 00:18:50.819 --> 00:18:53.519 efficient, provides a mathematically calculated 00:18:53.519 --> 00:18:56.720 10 percent risk reduction bonus against the absolute 00:18:56.720 --> 00:18:58.920 chaos of those global markets. It's incredible. 00:18:59.160 --> 00:19:01.859 I want you listening right now to remember this 00:19:01.859 --> 00:19:04.059 the next time you see a massive container ship 00:19:04.059 --> 00:19:06.900 pulling into port or a huge fleet of delivery 00:19:06.900 --> 00:19:09.119 trucks out on the highway. You are not just looking 00:19:09.119 --> 00:19:11.680 at logistics, you are looking at an invisible 00:19:11.680 --> 00:19:15.380 continuous war of risk management fighting against 00:19:15.380 --> 00:19:18.039 the volatility of the world. It is a constant 00:19:18.039 --> 00:19:21.019 delicate calibration between financial contracts 00:19:21.019 --> 00:19:23.539 and physical reality. So what does this all mean 00:19:23.539 --> 00:19:26.640 for you? I think this raises an important question, 00:19:26.700 --> 00:19:28.900 one that extends far beyond corporate logistics 00:19:28.900 --> 00:19:31.900 and shipping fleets. If the Tuaman and Sabanen 00:19:31.900 --> 00:19:34.079 method proves that physical efficiency provides 00:19:34.079 --> 00:19:36.759 a hidden 10 % buffer against volatile global 00:19:36.759 --> 00:19:39.700 markets, how might this logic apply to our own 00:19:39.700 --> 00:19:42.500 personal lives? Think about the systems and resources 00:19:42.500 --> 00:19:45.799 you rely on daily. If you actively reduce your 00:19:45.799 --> 00:19:48.559 physical dependency on any resource, whether 00:19:48.559 --> 00:19:51.099 that is grid electricity, complex supply chains 00:19:51.099 --> 00:19:53.839 for consumer goods, or even digital data storage, 00:19:54.420 --> 00:19:56.680 are you secretly acting as your own financial 00:19:56.680 --> 00:19:59.420 risk manager? By engineering your own life to 00:19:59.420 --> 00:20:01.319 be more efficient, are you insulating yourself 00:20:01.319 --> 00:20:03.240 from future systemic shocks that we haven't even 00:20:03.240 --> 00:20:03.799 predicted yet?