Past Exposure, Future Innovation: CEO Board Experience and AI Innovation
Despite the rapid advancement of Artificial Intelligence (AI), firms exhibit substantial heterogeneity in AI innovation. Building on the literature examining the role of CEO characteristics in shaping firm financial outcomes and innovation, we examine whether CEO prior exposure to AI innovation- rather than direct invention- drives firm-level AI innovation. Using employment history from BoardEx and AI patent data from the USPTO, we construct a measure of CEO prior exposure to AI innovation. The results show that firms hiring CEOs with prior AI innovation exposure significantly increase AI innovation relative to those hiring non-exposed CEOs. We address potential endogeneity concerns by exploiting CEO turnover events in firms with similar innovation potential that hire CEOs with and without prior exposure. Our findings demonstrate that CEO innovation-relevant human capital develops through multiple complementary pathways beyond direct intervention, thereby extending the literature on CEO characteristics and firm outcomes with important implications for executive labor markets and corporate governance.
Cross-Country Determinants of Resilience to Global Inflationary Shocks
The post-pandemic surge in inflation has been a concern for policymakers across the globe. Using a panel of 72 countries with quarterly data, we estimate the effect of global shocks on consumer prices. Comparing pre- and post-pandemic cumulative responses to consumer prices, we find that global demand shock has always led to persistent increases in prices. The global supply chain pressure temporarily affected prices before the pandemic but became very persistent in the post-pandemic world. Further geopolitical risk and global economic policy uncertainty emerged as inflationary shocks only recently. Finally, we show that countries with lower dependence on imported commodities and higher current account balances are more resilient to these inflationary shocks.
Monetary Transmission and Price Puzzle: Evidence from High-Frequency Identification
This paper proposes a novel high-frequency identification (HFI) strategy to measure monetary policy surprises in eight Asian economies- three advanced and five emerging- using changes in forward discounts of their respective currencies against the USD within a narrow window around monetary policy announcements. We show that cross-currency basis (deviations from covered interest parity) and the U.S. interest rate remain stable in this window, making changes in forward discounts a clean measure of monetary surprises. We further show that a 1 percentage point increase in existing HFI estimates from the U.S., U.K., and India leads to a ~1 percentage point change in forward discount-based measures for these countries, as predicted by covered interest parity, implying that the forward discount-based measure is a consistent and comparable measure of monetary surprises. Monetary tightening generates a persistent increase in short-term interest rates, but equity markets respond negatively, indicating limited evidence of central bank information effects in these monetary surprises. Unlike in the US, monetary tightening in these countries leads to broad-based currency depreciation- both nominal and real- and raises inflation through higher import costs. This indirect effect of interest rates through the exchange rate accounts for the observed price puzzle. It highlights the complex trade-offs facing central banks in these economies, and especially in emerging markets, in managing inflation through interest rate policy.
US Yield Curve Shift and Slope Shocks: Domestic Transmission and Global Spillovers
We identify two novel U.S. monetary policy shocks by combining high-frequency surprises around policy announcements with an estimated yield curve. The first, termed the shift shock, generates a hump-shaped movement of the yield curve in the US without altering its slope. The second, the slope shock, steepens the yield curve in the US mainly through changes in short-term rates. We show that Federal Reserve information effects likely confound the slope shock and exhibit no spillover to global asset prices or the South African economy. In contrast, the shift shock appears to be free of such information effects and leads to a significant decline in global asset prices, including an increase in long-term yields and a rise in the slope of the yield curve in South Africa. Unlike the slope shock, the shift shock also causes a depreciation of the ZAR with respect to the USD. These findings contribute to the literature on U.S. monetary policy by identifying shocks through the yield curve, which is central to the transmission of unconventional monetary policy.
Government Size and Risk Premium
Given the rise in the government debt level in recent times, this paper aims to understand the effect of an increase in government size on risk premium and its transmission in the economy. We jointly identify the term spread shock (originating at the short-end and the long-end) and the government size shock, using max share identification. Term spread shock originating at the long-end is driven by higher risk premium unlike the shock originating at the short-end, and increases inflation and reduces growth. Results suggest that the increase in the share of government expenditure in GDP (size) increases long-term rates by increasing the risk (term premium) and hence obstructs the transmission of monetary policy. As expected, the effect of government size on risk premium is more pronounced during recessions compared to expansions. By including a news shock about future economic activity, we rule out that the effect of government size shock on term premium is not driven by a news shock. We estimate the parameters of a new Keynesian model with term premium by matching the responses in data with responses from the model. The model can generate a similar rise in risk premium due to the increase in government size, and the estimated parameters suggest that the coefficient of risk aversion in recession times is more than twice that of during expansions.
Revenue & Cost Uncertainties and Market Power
Using administrative plant-level data from India, we estimate the effect of revenue and cost uncertainties on markup (product market power), markdown (labor market power), and combined market power. We show that historical two and three-digit industry averages of exports, imported inputs, and oil share are valid instruments for exports, imported inputs, and oil share at the plant level. Results suggest that revenue and cost uncertainties affect markup differently, revenue uncertainty decreases whereas cost uncertainty increases markup. Despite the opposite effect of these uncertainty measures on product market power, revenue and cost uncertainties tend to increase combined market power. This is because the revenue uncertainty significantly increases labor market power. Although, heightened cost uncertainties reduce labor market power but by less compared to increases in product market power. Given the results obtained in this paper, it is important to make a distinction between revenue and cost uncertainty to understand their cyclical nature.
Optimism and Pessimism in Indian Business Cycle
In this paper, we estimate a heterogenous agent new Keynesian model using Indian data to understand the sources of the recent decline in GDP growth. We implement a shock to bond in utility and show that this shock captures the optimism and pessimism (borrowing constraint being binding) for optimizing (savers) households. Pessimism shock is inversely related to preference shock, giving a structural interpretation of preference shock. Numerical simulations suggest that the amplification of monetary policy effects in the heterogenous agents model depends upon the habit persistence in consumption for non-optimizing households. Results from Bayesian estimation suggest that pessimism shock is the significant driver of the Indian business cycle and the recent decline in growth has been driven by household pessimism. The sluggish and significantly lower credit growth in the late 2010s makes these findings intuitively appealing.
Commodity Prices and Twin Balance Sheet Crisis
In the workhorse new Keynesian models, sectoral deflation is of little consequence unless it affects overall inflation. But in practice, sectoral deflation combined with nominal debt contracts and rigidity in the labour market can have large and significant adverse effects. Using data from India (the second largest steel producer in the world), we estimate the effect of large movements in metals prices during 2011-16 on financial and non-financial firms. As expected, a decrease in commodity prices led to a decline in profit in general and defaulting firms experienced an even larger decline in profitability. Using a difference-in-differences design, we find that banks having higher exposure to the metals sector declared significantly higher non-performing assets post commodity price crash compared to banks having little or no exposure. Hence, a large decline in commodity price can cause a prolonged twin balance sheet crisis which has not received enough attention in the existing literature. This type of balance sheet crisis hurts credit and economic growth in the medium run. Results also suggest that the large decline in domestic metals prices post 2011 was mostly driven by lower import prices from China and less than proportionate depreciation of the exchange rate.
Commodity Price Shocks and Non-Performing Assets in the Indian Banking Sector
Non-performing assets in the Indian banking sector increased significantly in the 2010s, accompanied by a slowdown in credit and GDP growth rates. In this paper, we show that non-performing assets in the banking sector and profit ratios in commodity-sensitive non-financial sectors are highly correlated with global commodity prices. To estimate the effect of movement in commodity price on non-performing assets, we create nominal price and inflation exposure indices for banks using novel data on banks’ sectoral exposure and commodity prices. These measures capture banks’ exposure to commodity prices through their borrowers’ profitability and cash flow and act as income shocks for banks. Results from a range of models suggest that a 1% decline in nominal exposure increases non-performing assets by 0.20-1.35% and these models explain ~30% of the variation in non-performing assets. The increase in non-performing assets is followed by a decrease in credit growth. These results help us in understanding the origins of India's twin balance sheet crisis.
Labour Market Effects of Exporter Pricing Behavior: Evidence from a Developing Economy
Despite an extensive literature on exporter pricing behaviour, the labour market consequences of exchange rate changes remain relatively under-studied. Using a product-level trade dataset from India, we document the case of incomplete exchange rate pass-through to traded goods prices, implying that adjustments could occur through both output and input markets. Thus, we estimate the effects of currency depreciation on product market power (markup), labour market power (markdown), and overall market power, using a plant-level data-set from India. We find that currency depreciation benefits workers in exporting firms by raising wages closer to competitive levels, with stronger effects for managerial than for non-managerial workers. Although exporters experience higher markups due to local currency depreciation, a substantial decline in markdowns leads to an overall reduction in combined market power. We exploit exogenous exchange rate variations along with historical export shares to address endogeneity concerns. These findings introduce a novel distributional dimension to the exchange rate pass-through literature.
Does Productivity Growth Boost Savings? Causal Evidence from Transition Episodes.
We introduce a novel approach to uncovering causation by exploiting transition episodes in aggregate macroeconomic data. Using a panel of 132 countries over 1961-2017, we identify 26 productivity-growth and 40 savings transitions, episodes characterized by sudden, persistent, and unpredictable increases in growth and savings. Event-study evidence shows that productivity-growth transitions lead to sustained increases in savings, whereas savings transitions do not generate sustained growth effects. We conduct extensive robustness checks addressing staggered transitions, heterogeneous effects, and unobserved time-varying confounders. Having established the direction of causality, we estimate the effects of productivity-growth and productivity shocks (estimated separately for each country using a Neoclassical model) on savings using panel VARs and local projections. We find that a one-standard-deviation increase in productivity growth raises the savings ratio by approximately 0.5 percentage points, highlighting the importance of policies that promote productivity growth to increase savings, rather than relying solely on savings-focused interventions.
Digital Financial Inclusion and Transitory Consumption: Household-Level Evidence from India
Recent developments in FinTech have made financial inclusion a policy priority across the globe. Ex-ante, it is not clear that the effect of digital financial inclusion on households would be similar to traditional inclusion. Using data from household surveys from India, we explore the relationship between financial inclusion and transitory consumption. Our results suggest that, unlike traditional inclusion, digital financial inclusion leads to higher transitory consumption. However, when considering the distribution of wealth, we find that digital financial inclusion is associated with higher transitory consumption only at lower levels of wealth, which decreases for households at higher levels of wealth. Finally, we explain this heterogeneous effect of digital and traditional financial inclusion by showing that households with traditional financial inclusion face a greater reduction in borrowing costs compared to those with digital financial inclusion. The oversensitivity of consumption due to digital inclusion highlights the need for digital literacy and policies aimed at curbing predatory and unfair lending practices.
Fiscal Spillover in Emerging Economies: Real vs. Financial Channels
Fiscal policy is an important tool for business cycle stabilization and has significant spillover due to real and financial channels. In this paper, we estimate the spillover of US fiscal policy shock in emerging economies which is distinct from the US monetary policy spillover. We find that- similar to its effect in advanced economies- the shock lowers the real policy rate in emerging economies. Results suggest a disconnect between long-term rate and policy rate that leads to the steepening of the yield curve in emerging economies due to the shock. Contrary to its effect in the US, we find that this shock leads to a prolonged appreciation of real effective exchange rates in emerging economies and hurts their external competitiveness. These effects of US government expenditure shock in emerging economies are direct and not indirectly driven by the effect of this shock on GDP growth and inflation in emerging economies although the shock leads to contraction of output in emerging economies.
Oil Price Dynamics in Times of Uncertainty: Revisiting the Role of Demand and Supply shocks
Drivers of real oil prices have been explored extensively in the literature with little consensus. Using a new identification scheme based on forecast error variance, we identify oil-specific demand, demand and oil supply shocks that maximize the sum of forecast error variance of three variables explained by their respective shocks. Estimation with the sample period until 2007, suggests that the three identified shocks have similar effects as in the early literature, with oil-specific demand shocks playing a prominent role. However, in the post-crisis period supply shocks have emerged as a source of short-run increase in oil prices and demand shocks do not have a long-run effect on prices, unlike in the pre-crisis period. Even with the inclusion of uncertainty shock, this transition to a supply shock driving oil prices in the short-run survives. These estimates overwhelmingly suggest zero short-run supply elasticity, a matter of debate in recent literature. Although oil-specific demand shocks are predominant drivers of real oil prices, six episodes (including COVID-19) considered in this paper suggest that other shocks have also played a significant role in driving oil prices in different episodes and cannot be ignored while evaluating the oil price dynamics.
What Drives Indian Inflation? Demand or Supply
Understanding the drivers of inflation is an important issue in business cycle research and has been a matter of debate. In this paper, using data from a large emerging economy, we identify a structural shock (inflation shock) that explains the maximum forecast error variance of consumer prices. The inflation shock explains more than 80 per cent of the forecast error variance of consumer price up to 40 quarters. This shock increases prices and decreases output, implying that it is a supply shock. We also show that the food inflation shock is the primitive shock, which makes the inflation shock a supply shock and also feeds into non-food inflation. A large interest rate reaction to this shock leads to a prolonged decline in credit, investment, and output. Using the shocks obtained from a medium-scale new Keynesian model, we provide additional evidence that most of the variance of estimated inflation and food inflation shocks is explained by model-based supply shocks. These results suggest that central banks in emerging economies need to be more pragmatic in implementing inflation-targeting policies.
Bank Credit Risk and Macro-Prudential Policies: Role of counter-cyclical capital buffer
This paper investigates the impact of Counter-Cyclical Capital Buffer (CCyB) as a macro-prudential policy, on bank credit risk. Using a unique daily data set consisting of 4939 credit default swaps (CDS) of 70 banks from 25 countries over the period 2010-2019, we find that CCyB tightening decreases bank-level CDS spread while CCyB loosening increases CDS spread. This heterogeneous effect of CCyB arises due to its asymmetric effect on the capital ratio (equity-to-total assets) of banks. Tightening CCyB significantly increases capital, whereas loosening CCyB does not impact capital. Thus, by imposing on banks to hold capital buffer, the CCyB regulation enables them to mitigate any rise in credit risk during uncertain times when bank assets lose value. Therefore, macro-prudential policies for banks to hold higher levels of capital during good times are justified to contain financial market risks during downturns.
Market volatility, monetary policy and the term premium
In this paper, we use time-varying VAR models to study the effects of option-implied measures of equity and bond market volatilities on the government bond term premium and key macroeconomic variables. We show that the high correlation between the two volatilities requires that shocks to these variables be jointly identified. We find that a positive shock to the VIX reduces the term premium. We interpret this effect as the result of investors shifting their portfolios away from riskier assets. The positive shock to the VIX also has contractionary and disinflationary effects. By contrast, a positive shock to the MOVE, which reflects heightened uncertainty about future changes in interest rates, raises the term premium. Similar to a VIX shock, an increase in bond market volatility also has a contractionary effect, although the negative effects on output and inflation are smaller. Both VIX and MOVE shocks resemble negative demand shocks, albeit of different intensity, to which the central bank responds by easing monetary policy. Depending on the type of volatility impacting the economy, a contraction in output can be associated either with a flattening or steepening of the yield curve.