Around three quarters of Bitcoin transactions take place off-chain. Despite their significance, the vast majority of the empirical literature on cryptocurrencies focuses on on-chain transactions. This paper presents one of the first analysis of both on- and off-chain demand- and supply-side factors. Two hypotheses relating on-chain and off-chain demand and supply drivers to the Bitcoin price are tested in an ARDL model with daily data from 2019 to 2024. Our estimates document the differential contributions of on-chain and off-chain drivers on the Bitcoin price. Off-chain demand pressures have a significant impact on the Bitcoin price in the long-run. In the short-run, both demand and supply drivers significantly affect the Bitcoin price. Regarding transactions on the blockchain, only on-chain demand pressures are statistically significant - both in the long- and short-run. These findings confirm the dual nature of the Bitcoin price dynamics, where also market fundamentals affect the Bitcoin price in addition to speculative drivers. Bitcoin whale trading has less significant impact on price in the long-run, while is more pronounced contemporaneously and one-period lag.
Alex: Welcome to another episode of ResearchPod. Sam, what paper are we diving into today?
Sam: This is a study by Pavel Ciaian and colleagues titled "On- and off-chain demand and supply drivers of Bitcoin price." It looks at daily data from 2019 to 2024 to test how factors pushing Bitcoin buying and selling—both visible on the blockchain and hidden elsewhere—affect its price. The key puzzle is that while most research focuses only on blockchain data, about three-quarters of Bitcoin trades happen off the chain, potentially skewing our view of what really moves the price.
Alex: So this paper is basically asking whether those hidden off-chain trades matter as much as the ones we can see on the blockchain... or even more?
Sam: Yes, exactly. On-chain trades are like public transfers between personal wallets—directly recorded on Bitcoin's main ledger, which anyone can check for transparency and security. They're validated through a group agreement process to prevent fakes. But off-chain trades happen on centralized platforms like Binance or Coinbase, where ownership shifts without hitting the blockchain right away; they're faster, cheaper, and private, but make up the bulk of volume—around 75%—so ignoring them gives an incomplete picture of demand and supply pressures on price.
Alex: Right, and the practical issue for someone trading Bitcoin is they'd miss most of the action if they only watch the blockchain—like judging a game's score from one scoreboard while 75% of plays happen off-field?
Sam: That's a solid way to frame it. Traders relying on blockchain data alone overlook fiat money flowing in or out via exchanges, which could better predict price swings. The paper suggests off-chain demand plays a notable role long-term, while short-term both on- and off-chain factors matter—revealing Bitcoin's price has both speculative snaps and steadier fundamental pulls.
Alex: If off-chain flows are key, how exactly did they measure their pull on price versus the on-chain stuff? Like, what tool separated the quick jolts from the steady drag?
Sam: They used a method that tracks how past buying and selling pressures ripple through Bitcoin's price over days, weeks, or years. It splits effects into immediate reactions—like a quick tug on a rubber band that snaps the price around—and longer pulls that gradually stretch it back to a balance point driven mainly by off-chain demand. Researchers call this an autoregressive distributed lag model, or ARDL for short; it's built for financial data where things like delayed reactions and overlapping influences muddy simple tests. Think of it like watching a ball bounce: short tugs make it jump right away, but gravity—here, off-chain demand—pulls it back to earth over time.
Alex: Got it—so the rubber band analogy fits: short tugs from any trades shake things up right away, but over time off-chain demand is the main force yanking it steady. But wait, doesn't that assume the data lines up perfectly over those years?
Sam: Close, but the model first checks if price and flows move together long-term, using a bounds test that confirms they're linked despite ups and downs. It handles data that's steady or trending without breaking, plus tangled cause-effect loops where price sways flows and vice versa. The paper's daily data from 2019 to 2024 shows off-chain demand has a clear long-run grip on price, while short-run swings come from both on- and off-chain net flows—more balanced there.
Alex: So traders watching only blockchain miss that long-term anchor from exchanges. That dual setup—snaps short-term, off-chain pull long-term—explains why price feels both wild and glued to something bigger.
Sam: Precisely. It points to Bitcoin's price blending speculative shocks with fundamental supply-demand, where off-chain—ignored before—holds the enduring sway. The evidence suggests this reshapes how we view crypto markets.
Alex: That enduring off-chain pull makes sense as the long-term anchor. But what exactly counts as off-chain demand in their data—like, how do they spot it pulling the price up steadily?
Sam: They track a few key signs from centralized exchanges, which are big trading platforms like Binance or Coinbase where most people swap regular dollars for Bitcoin without touching the blockchain right away. These act as doorways for new money entering or leaving crypto. One measure is bank netflow: the net Bitcoin moving into digital banks that hold it for services like lending or storage—positive flow means more demand building up, like savers depositing cash. Another is bank reserve, the total value of Bitcoin these banks hold, showing ready liquidity for buys. Fund volume tracks trading in regulated Bitcoin funds, like ETFs, where rising activity signals steady investor interest.
Alex: Okay, so those are the demand signals off-chain. And supply side would be the opposite, like stuff piling up on exchanges ready to sell?
Sam: Yes—exchange netflow counts net Bitcoin heading to those platforms, hinting at potential sellers depositing to trade. Exchange reserve is the total Bitcoin stockpile there, more of it means easier supply for downward pressure. On-chain, demand comes from non-exchange transfers, like peer-to-peer swaps, while supply proxies include total minted Bitcoins and coin days destroyed—when old, dormant coins move after years idle, signaling long holders cashing out.
Alex: Got the pieces. So in the model's split, how do these shake out—off-chain demand owning long-term, but short-term more mixed?
Sam: The bounds test confirmed a long-run link, with off-chain demand—like bank flows and reserves—showing strong positive ties to price, pulling it toward equilibrium. Short-run, both on- and off-chain demand and supply jolt it around, though on-chain demand stands out more there; the error correction speed shows quick snaps back, about right for daily data.
Alex: So price dances to all pressures daily, but settles on off-chain buying power over time. That dual setup matches Bitcoin feeling both chaotic and tied to real flows.
Alex: To trust the split between quick snaps and long pulls, they must have checked if the data behaves right for that kind of model—like making sure trends don't fake out the links.
Sam: First, they tested if each data series—like price or flows—wanders randomly or trends steadily over time, using checks that spot patterns in ups and downs. If something trends too wildly, simple models fail, but here all stayed in bounds for the ARDL approach—no extreme drifts. Then a bounds test confirmed the pieces link long-term. The error correction part measures how fast things snap back after a jolt—nonzero and sensible speed here. They also used robust error adjustments to handle uneven data spreads, ensuring stats hold up. Multiple model setups, swapping similar measures, gave consistent pictures.
Alex: Okay, so those checks lock in the long-run equilibrium. In the results, does off-chain demand really stand out long-term while short-term gets busier with everything?
Sam: Long-run, off-chain demand drivers like bank netflow and reserves showed strong positive pulls on price in most setups. On-chain demand did too, but supply sides mostly didn't stick. Short-run flips: off-chain demand and supply both jolt price right away, demand echoing up to days later while supply fades quicker; on-chain demand hits immediate but shorter. Overall, off-chain demand matters long-term, both sides short-term—pointing to off-chain dominating daily yet settling on demand equilibrium.
Alex: Demand echoing longer off-chain makes sense if it's steady buying pressure. And that difference between short wildness and long calm—does it tie to speculation versus real use?
Sam: Yes—the paper notes off-chain trades on platforms like Binance link to quick profit-chasing, fueling short swings that fade, while longer pulls reflect broader adoption and trust, like network growth. On-chain shows more immediate user activity but ties to fundamentals over time. This confirms Bitcoin's price mixes speculative bursts with steady market basics. They added markers for big shifts—like money floods from 2020 events or a 2022 exchange crash—to steady the models, and swaps held firm.
Alex: So structural bumps accounted for, revealing that dual drive. What about those big players—the whales—do they fit the pattern or stand apart?
Sam: Whale flows showed weak links—positive from banks, negative from exchanges in some models short-run, but limited long-term punch. The paper suggests more detailed whale data, like top thousand holders, needs checking for clearer answers. It tempers claims on their sway, focusing evidence on broader flows instead. This grounds the dual dynamics firmly.
Alex: Notable how tests and swaps build that confidence... without overclaiming whale power.
Alex: Yeah, without overclaiming whale power... that keeps it grounded. But with all these flows in play, what about bigger economic signals—like inflation or stock markets—do they fit into the short versus long picture too?
Sam: The paper looks at those broader forces next, like everyday price rises across goods or how U.S. stocks perform. When prices for things like food and gas creep up steadily—that's tracked by a measure called the Consumer Price Index, or CPI—it ties negatively to Bitcoin long-term in several setups, suggesting tighter money during inflation pulls asset values down, including Bitcoin's. Short-term, stocks show up strong right away and for a couple days, fading after.
Alex: So even macro stuff snaps short-term like trades, not anchoring long. Reinforces Bitcoin leaning speculative there.
Sam: Exactly—the study sees limited long-run pull from these, except inflation and central bank rates in spots, with stocks driving short swings. This matches views of Bitcoin responding to market mood and quick shifts, not as a steady safe spot like gold, which also links negatively long-term here.
Alex: And those robustness checks—swapping setups or adding event flags—do they hold the main story together?
Sam: They do, largely backing off-chain demand's long-run role and both sides' short-run jolts. Whales stay weak long, punchy short across. It tempers on-chain long-run claims but aligns overall—consistent dual dynamics.
Alex: Solid checks build trust. Still, no model is perfect—what limits should we note here, like data gaps?
Sam: Key ones: it leans on stand-ins, like top-10 flows for whale moves or exchange totals for supply, which approximate but don't capture every detail. Daily data skips intraday ups and downs that might sharpen swings. Plus, these links show ties, not strict cause-effect—correlations leave room for other pushes. The paper flags these honestly.
Alex: Fair—proxies and daily scale make sense for broad patterns, but finer views needed. So for folks watching markets, what's the real-world nudge?
Sam: Regulators could track off-chain flows on platforms like Binance for stability risks, since they sway short-term. Investors might blend on- and off-chain metrics for better price forecasts and hedges, catching that long-run demand anchor amid short noise. It shifts crypto views toward fuller pictures.
Alex: Right—dual speculative snaps and off-chain fundamentals, confirmed step-by-step, with cautions intact. Meaningful for blending data wisely. Thanks, Sam—that clears up Bitcoin's price drivers thoughtfully.
Sam: My pleasure, Alex. This work highlights how off-chain matters reshape understanding, grounding speculation in market basics. Thanks for listening to ResearchPod.