The Indeterminate History of Money Risk Scenario Analysis: Baseline, Upside, and Stress Tests

Understanding the “indeterminate history” of money is not about finding a final answer among shells, gold, paper money, bank deposits, Bitcoin, or central bank digital currency, but about identifying how asset prices, liquidity, and risk appetite change when markets switch between different monetary narratives. Many investment losses are not caused by being wrong about a macro indicator, but by misusing the long-term question of “how money will evolve” as a short-term all-in trading signal. A more prudent approach is to break the money question into several observable scenarios: how the baseline continues, where the upside comes from, how stress propagates, and which indicators can warn of risk in advance.

Why the History of Money Is Hard to Tell Linearly

Common money stories present history as a clear path: barter is inefficient, so commodity money emerges; commodity money is inconvenient to carry, so metallic money appears; metallic money supply is limited, so paper money emerges; and paper money is then replaced by electronic payments and digital assets. This narrative is intuitive, but overly simplified.

Money in reality is more like a combination of functions: it can be a unit of account, used to price goods and record debt; it can be a medium of exchange, used to complete payments; it can be a store of value, used to preserve purchasing power across time; and it can also be an institutional arrangement jointly supported by state taxation, legal tender, commercial bank credit, and market clearing networks. Whether something becomes “good money” depends not only on scarcity, but also on whether it can be widely accepted, transferred at low cost, maintain clearing ability in a crisis, and rest on sufficiently stable credit.

Therefore, the so-called The Indeterminate History of Money risk scenario is not fundamentally about the academic debate of “whether money originated from commodities or debt,” but about how this uncertainty affects today’s asset allocation: when people trust sovereign credit more, government bonds, bank deposits, and the fiat system earn a premium; when people worry more about inflation and fiscal constraints, gold, physical assets, or digital assets with limited supply gain strength; and when payment technology and regulatory frameworks change, stablecoins, tokenized deposits, and central bank digital currency may alter the way funds move.

Baseline Scenario: Multiple Forms of Money Coexist Over the Long Term

Under the baseline scenario, the future monetary system will not be completely replaced by any single asset, but will continue to show a layered structure. Central bank money will still play the role of final settlement and the monetary policy anchor; commercial bank deposits will remain one of the main forms of day-to-day funds for households and businesses; the government bond market will continue to provide the foundation for collateral, pricing curves, and institutional liquidity; gold will retain the narrative of a non-credit asset and long-term store of value; and stablecoins, crypto assets, and on-chain settlement tools will continue to develop in specific cross-border, 24/7, and programmable scenarios.

In this scenario, the key assumptions include: major economies can still maintain basic credibility in fiscal and monetary policy; while the banking system faces cyclical pressure, there is no systemic collapse of trust in deposits; regulators adopt a gradual inclusion rather than a blanket exclusion approach toward crypto assets and stablecoins; blockchain infrastructure continues to improve, but has not yet overtaken traditional systems in everyday retail payments.

For asset prices, the baseline scenario usually means “narrative rotation” rather than “one-way substitution.” For example, in a rising real-rate environment, gold and high-valuation risk assets may come under pressure, while cash-like assets and short-duration bonds become more attractive; in a liquidity-easing environment with recovering risk appetite, Bitcoin, growth stocks, and high-beta assets may rebound; in a recurring inflation-expectations environment, attention may increase on gold, inflation-protected bonds, and certain scarcity assets. Investors need to avoid equating a long-term monetary thesis directly with the idea that one specific asset will keep rising forever.

Upside Scenario: Trust, Efficiency, and Institutional Boundaries Improve Together

An upside scenario is not merely “some coin goes up.” A more complete upside comes from simultaneous improvement in three areas: first, public trust in the monetary system does not deteriorate, inflation expectations remain relatively stable, and central banks and fiscal authorities still have policy room; second, new technologies reduce the cost of payments, settlement, and cross-border transfers, making fund movement more transparent, faster, and cheaper; third, regulatory boundaries gradually become clearer, allowing institutions to use stablecoins, custody services, tokenized assets, and on-chain settlement within a compliant framework.

In this case, traditional finance and crypto infrastructure may not be zero-sum, but instead complementary. Banks and payment companies can use more efficient back-end settlement technology; asset managers can record and circulate part of real-world assets in tokenized form; users can choose different risk levels of fund management between self-custody, compliant custody, and bank accounts. For the market, upside may manifest as improved stablecoin circulation and reserve transparency, increased on-chain real settlement demand, expanded compliant trading channels, higher institutional custody standards, and a more stable liquidity backdrop supporting risk asset valuations.

A concrete example is cross-border small-value payments. The traditional route may involve multiple intermediary banks, different business hours, and higher fees; if stablecoins or tokenized deposits are used on the basis of compliance and transparent reserves, settlement time may be shortened. But this does not mean all stablecoins are safe, nor does it mean users can ignore the issuer’s reserves, redemption mechanism, on-chain congestion, smart contracts, and regulatory restrictions. The condition for an upside scenario to hold is that efficiency gains are not achieved at the expense of trust and risk segregation.

Stress Scenario: Monetary Narratives Turn into Risk Events

Stress scenarios usually do not happen at a single point; they are amplified by the interaction of credit, liquidity, and trust. The first type of stress comes from within the fiat system, such as unanchored inflation expectations, doubts about fiscal sustainability, deposit outflows from banks, or tight short-term funding markets. In such an environment, markets may seek non-sovereign credit assets or hard-asset narratives, but at the same time cash becomes king and deleveraging behavior emerges, causing risk assets to fall broadly in the short term.

The second type of stress comes from within the crypto market, such as risk events at major trading platforms, custodians, stablecoin issuers, or cross-chain bridges. Even if the long-term narrative of some digital assets is tied to self-custody and censorship resistance, market prices may still be affected by leveraged liquidations, market maker withdrawals, reduced trading depth, and regulatory investigations. When stress occurs, investors need to distinguish between “whether the protocol layer is still functioning normally” and “whether the market layer still has enough liquidity.” These are often conflated, but the risk implications are different.

The third type of stress comes from regulation and geopolitics. If certain jurisdictions restrict stablecoins, exchanges’ fiat on- and off-ramps, or privacy tools, the accessibility and liquidity of related assets will change; if cross-border payments and capital flows face stricter scrutiny, digital assets may simultaneously face rising safe-haven demand and rising compliance friction. A stress scenario is characterized by the fact that the direction is not necessarily one-way: the same event may benefit gold, depress high-risk tokens, and at the same time temporarily boost dollar cash demand while dragging down all risk assets.

Key Triggers: Turning Stories into Conditional Judgments

To make scenario analysis actionable, macro narratives must be converted into trigger conditions. The following checklist can be used for monthly reviews or after major events:

Trigger conditions are not the same as trading instructions. For example, a rise in stablecoin transfer volume may indicate increasing real payment demand, or it may mean the market is moving funds in panic; a rise in Bitcoin price may reflect strengthening long-term scarcity narratives, or it may simply be driven by leveraged money. Investors should analyze trigger conditions together with position sizing, time horizon, and liquidity constraints.

Leading Indicators and Lagging Indicators: Which Signals Arrive Earlier, and Which Only Confirm

Leading indicators often come from the price of money and market structure. These include short-term rates and overnight funding stress, dollar liquidity indicators, credit spreads, the market cap and redemption status of major stablecoins, net inflows and outflows at exchanges, active on-chain addresses and settlement volume, derivatives open interest, futures basis, funding rates, and changes in correlations among mainstream assets. The advantage of these indicators is speed; the disadvantage is noise, as they are easily distorted by short-term trading and one-off events.

Lagging indicators usually include official inflation data, central bank meeting minutes, implementation of regulatory announcements, progress in payment or custody businesses in corporate earnings, bank credit data, and institutional position disclosures. These indicators are better suited to confirming trends rather than capturing turning points. For example, when official data confirms credit contraction, the market may already have reflected part of the pressure through bank stocks, credit spreads, and money market rates.

A more robust method is combined observation: if inflation expectations rise, real rates fall, gold strengthens, long-term government bond volatility increases, and limited-supply digital assets attract inflows, then the market may be repricing monetary credibility; if stablecoin market cap declines, exchange depth thins out, leverage funding rates become abnormal, and risk-asset correlations rise, then it looks more like a liquidity contraction rather than a pure money-substitution narrative.

Cross-Asset Impact: Cash, Bonds, Gold, Stocks, and Crypto Assets

Changes in monetary narratives affect multiple asset classes through discount rates, risk appetite, collateral value, and liquidity channels. Cash and money market instruments usually have defensive characteristics during tightening or panic phases, but they face inflation erosion and changes in reinvestment yields. Government bonds are both safe-haven assets and expressions of sovereign credit; they may benefit during growth shocks, and come under pressure during inflation or fiscal worries. Gold has no cash flow, and its valuation is difficult to explain with traditional models, but it is often refocused upon when real rates fall, geopolitical uncertainty rises, and trust in fiat currency weakens.

The impact on stocks is more complex. Large technology companies may benefit from the digitization of payments and financial infrastructure, but high-valuation stocks are sensitive to rising rates; bank stocks may benefit from spreads, but may also be hurt by deposit migration and balance-sheet pressure; payment companies may face competition from stablecoins and real-time settlement networks. Commodities are more influenced by real demand, supply constraints, and dollar pricing, but in inflation narratives they are often included in monetary hedging portfolios.

Crypto assets also cannot be treated as one thing. Bitcoin is often seen as a non-sovereign scarce asset, but in the short term it still has the characteristics of a high-volatility, high-risk asset; Ethereum and other smart contract platforms rely more on application demand, fees, developer ecosystems, and regulatory boundaries; stablecoins are more like on-chain dollar liquidity tools, with core risks in reserves, redemption, issuer governance, and compliance status; long-tail tokens may depend heavily on liquidity, narratives, and exchange support. The focus of cross-asset analysis is to identify which “money function” each asset is exposed to: store of value, payment and settlement, collateral, yield asset, or speculative liquidity carrier.

Risk Management Framework: Turning Scenarios into Position Discipline

A practical framework can be divided into four steps. First, clearly state why you hold the asset: is it to hedge inflation, diversify fiat risk, capture on-chain growth, improve cash yields, or trade short term. Different reasons require different stop-loss and rebalancing rules. Second, set maximum loss assumptions for each asset, rather than only looking at expected returns. For example, gold may trade sideways for a long period, Bitcoin may experience large drawdowns, stablecoins may face depegging or redemption delays, and long-duration bonds may decline due to rising rates.

Third, distinguish custody methods. Bank deposits, brokerage accounts, exchange accounts, compliant custody, and self-custody wallets correspond to entirely different rights structures and operational risks. Self-custody can reduce some counterparty risk, but it transfers private key management, backup, anti-phishing, and inheritance arrangements to the user; third-party custody is more convenient, but requires evaluating the institution’s qualifications, segregation arrangements, and redeemability. Fourth, establish rebalancing rules. For example, when a high-volatility asset rises above the target weight, automatically reduce it back to the upper end of the range; when market panic discounts high-quality assets, adjust in tranches only when liquidity reserves are sufficient and the risk event is identifiable.

A simplified executable version is: keep enough cash-like assets to cover living or operating expenses; avoid betting on monetary narratives with borrowed money; diversify stablecoin issuers and chains; conduct small recovery tests for self-custody assets; and reduce positions in, or do not participate in, any asset whose cash flow, governance, custody, and exit path cannot be explained.

Data That Needs Ongoing Updates

Monetary system change is a slow variable, but market pricing is a fast variable, so data needs to be updated in layers. On the macro level, continuously track inflation, real rates, fiscal deficits, government debt maturity structure, central bank balance sheets, bank credit, money supply, and credit spreads. On the market level, observe the dollar index, government bond yield curves, gold prices, major equity valuations, volatility indices, and cross-asset correlations.

On the crypto side, pay attention to the circulating supply of major stablecoins, reserve reports, redemption mechanisms, spot and derivatives depth on exchanges, on-chain fees, active addresses, long-term holder behavior, and security incidents at bridges and custody services. On the regulatory side, track stablecoin legislation, trading platform licensing, anti-money-laundering requirements, tax treatment, CBDCs, and tokenized deposit pilots. It should be noted that a single indicator cannot independently form a conclusion; only when macro conditions, market structure, and on-chain behavior produce consistent signals does the credibility of a scenario judgment increase.

Conclusion: Monetary Narratives Are Useful, But They Cannot Replace Risk Control

The reason the history of money is difficult to determine is that it has never been a simple technological evolution, nor has any single asset naturally won out. It is the result of the combined effects of credit, law, payment networks, social trust, and market liquidity. For investors, the most important thing is not to choose the grandest future story, but to break the story into baseline, upside, and stress scenarios, and then test them with indicators, position sizing, custody, and exit mechanisms.

This framework is suitable for macro multi-asset observation, long-term allocation discussions, and risk post-mortems, but it is not suitable to be treated as a short-term prediction model. Any indicator can fail, and any asset can deviate from historical correlations under extreme conditions. True sustainable advantage comes from acknowledging uncertainty: understanding that forms of money may continue to change, while also acknowledging that prices, liquidity, and regulatory paths will not unfold linearly along a single narrative.

References

1. Trezor Blog: The Indeterminate History of Money：https://trezor.io/blog/insights/the-indeterminate-history-of-money
2. Bank of England: Money creation in the modern economy：https://www.bankofengland.co.uk/quarterly-bulletin/2014/q1/money-creation-in-the-modern-economy
3. BIS: Central bank digital currencies: foundational principles and core features：https://www.bis.org/publ/othp33.htm
4. Federal Reserve: Money Stock Measures - H.6 Release：https://www.federalreserve.gov/releases/h6/
5. Satoshi Nakamoto: Bitcoin: A Peer-to-Peer Electronic Cash System：https://bitcoin.org/bitcoin.pdf
6. OneKey Help Center：https://help.onekey.so/

Risk Disclosure

This article is for educational and research purposes only and does not constitute investment advice, legal advice, or tax advice. Cash, bonds, gold, stocks, stablecoins, Bitcoin, and other crypto assets mentioned in the article may all face risks such as market price volatility, execution slippage, insufficient liquidity, custody or private key management failures, vulnerabilities in smart contracts or on-chain infrastructure, leveraged liquidations, counterparty defaults, and changes in regulatory policy. Stablecoins may depeg, experience redemption delays, or lack sufficient reserve transparency; self-custody assets may suffer irreversible losses due to mnemonic phrase leakage, lost backups, or phishing attacks; using leverage amplifies losses and may lead to a complete loss of principal. No scenario analysis or indicator framework can guarantee profits or avoid losses. Readers should make independent judgments in light of their own financial situation, risk tolerance, and the regulatory requirements of their jurisdiction.