Key Details
The IMF working paper, A Model of Macroeconomic Policies with Endogenously Insurable Exchange Rates, develops a model explaining how gaps in currency hedging can affect exchange rates and external financing costs. India appears in the empirical sample, but the paper does not produce an India-specific estimate.
Aspect | Finding or approach |
|---|---|
Research question | Why do investors sometimes demand an additional return for holding debt exposed to exchange-rate movements? |
Proposed mechanism | Differences in information can make protection against extreme currency movements unavailable |
Effect on borrowing | Lenders charge a higher return when they must bear currency risks that cannot be insured |
Evidence base | 5,519 monthly observations from 15 emerging and 12 advanced economies between January 2006 and December 2024 |
Empirical finding | A one-standard-deviation increase in the cost of protection against a severe currency fall is associated with a 154.59-basis-point increase in the currency premium after accounting for persistent differences between countries |
India’s place in the analysis | India is one of the 15 emerging markets in the pooled sample; it is not examined as a separate case |
Policy areas considered | Monetary policy, fiscal policy, foreign-exchange liquidity support, external-debt composition and management of sensitive economic information |
Extreme Currency Movements May Become Uninsurable
The model considers a market in which some traders know more than insurers about a shock that could influence monetary policy and the exchange rate.
For ordinary currency movements, both sides may assess risks similarly. But for extreme appreciation or depreciation, better-informed traders can have a substantial advantage, exposing insurers to systematic losses. Insurers may therefore withdraw protection against these outcomes.
The result is a divided market: routine exchange-rate risks remain insurable, while the most damaging movements may not.
Uninsured Currency Risk Can Raise Borrowing Costs
Foreign investors holding local-currency debt face losses when the currency depreciates and typically use currency hedging to reduce this exposure.
If protection against severe depreciation becomes unavailable, lenders must bear more risk and may demand a higher expected return. The paper captures this through the uncovered interest parity (UIP) premium — the additional return associated with departures from the benchmark that interest-rate differences should be offset by expected exchange-rate movements.
In this framework, reduced insurability can therefore translate into higher external financing costs.
Expensive Downside Protection Is Associated with Higher Currency Premiums
The empirical analysis covers 15 emerging markets, including India, and 12 advanced economies. It compares the UIP premium with the relative price of options protecting investors against large currency declines.
Across 5,519 monthly observations, a one-standard-deviation increase in the cost of downside protection is associated with a 154.59-basis-point increase in the currency premium, after controlling for country-specific characteristics.
The association is consistent with the model, but does not establish that information asymmetry caused the higher premium. The causal mechanism comes from the theoretical analysis.
Unequal Information Can Make Currency Risk Harder to Price
The model distinguishes between volatility that is broadly understood and volatility driven by information available only to some market participants. The former can still be priced and insured; the latter can make extreme outcomes harder to insure.
The authors describe this as an information-sensitivity externality: individual actions can make exchange rates more responsive to privately held information without those actors bearing the wider cost created by reduced insurability.
Policy uncertainty can therefore affect borrowing costs not only through confidence, but also by widening information differences and making extreme currency risks harder to price.
Monetary, Fiscal and Financial Policies Affect Insurability Differently
The model explores several channels:
External debt: Premiums can increase when external debt is large or concentrated among fewer lenders, increasing each investor’s exposure to severe depreciation.
Fiscal policy: Import-intensive government spending can increase external borrowing, while fiscal decisions based on privately held information can increase the exchange rate’s information sensitivity.
Foreign-exchange liquidity: A government FX fund providing liquidity to exporters during financial stress can reduce the adjustment required through the exchange rate, although maintaining the fund also carries costs.
Information management: Temporarily protecting sensitive information or releasing it simultaneously to all participants can remove informational advantages in the model. Which approach is preferable depends on whether information can be accurately collected, securely protected and released on equal terms.
These are model-based results, not universal policy prescriptions. Their relevance depends on the shock, external-debt structure and institutions managing economic information.
India Is in the Sample, but Not Separately Assessed
India is among the emerging markets used to estimate the relationship between downside protection costs and currency premiums. The paper does not provide an India-specific coefficient, diagnosis or policy simulation.
It therefore does not establish that information asymmetry is a major driver of India’s currency premium. Applying the framework to India would require evidence on rupee hedging costs, investor composition, capital flows and responses to policy announcements.
Policy Relevance
For India, the paper suggests looking beyond overall exchange-rate volatility to whether extreme rupee risks remain affordable and insurable, particularly when information is unevenly distributed.
Policy communication: Predictable and broadly accessible release of material information can reduce informational advantages. The relevant issue is not simply publishing more information, but ensuring that important information reaches markets on equal terms and reduces uncertainty about policy responses.
Foreign-debt composition: Risk depends not only on the amount of local-currency debt held abroad but also on how concentrated those holdings are and how readily investors can hedge rupee exposure.
FX-market resilience: High normal-period liquidity does not guarantee affordable protection against extreme depreciation. The availability and cost of tail-risk hedging during stress can reveal vulnerabilities that average trading indicators miss.
India-specific evidence: The pooled results cannot identify how much of India’s currency premium, if any, reflects information asymmetry. Testing the mechanism would require Indian evidence on rupee options, hedging access, foreign debt holdings and market responses to fiscal and monetary-policy news.
Follow the Full Paper Here: A Model of Macroeconomic Policies with Endogenously Insurable Exchange Rates