Luis Pablo de la Horra

Bagus, P., & de la Horra, L.P (2021). An ethical defense of cryptocurrencies. Business Ethics, the Environment & Responsibility. https://doi.org/10.1111/beer.12344.

The growing importance of the cryptocurrency phenomenon has raised concerns about the ethical implications of a hypothetical widespread use of these new forms of digital money. In this paper, we undertake an ethical assessment of cryptocurrencies drawing upon two specific ethical theories: private property ethics and utilitarianism. Particularly, we focus on three distinctive aspects. First, we examine the advantages and disadvantages of cryptocurrencies vis‐à‐vis central bank fiat money. Second, we analyze cryptocurrencies as facilitators of tax evasion and the ethical implications arising therefrom. Finally, we explore the use of cryptocurrencies for nefarious consumption. We conclude that, were cryptocurrencies to become widespread media of exchange, governments capacity to undertake monetary, fiscal, and drug policy would be undermined. We argue that this would be an ethically desirable outcome from both a private‐property‐rights and a utilitarian perspective since it would force governments to reduce their size and scope in these three areas. [Continue reading: BEER]

de la Fuente, G., de la Horra, L. P., & Perote, J. (2020). The Demand for Divisia Money in the United States: Evidence from the CFS Divisia M3 Aggregate. Applied Economics Letters, 27(1), 41-45. http://dx.doi.org/10.1080/13504851.2019.1606403.

In this paper, we analyse the demand for real money balances in the United States for the period 1990Q1–2017Q2 using a novel Divisia monetary aggregate developed by Barnett et al. (2013). Unlike simple-sum aggregates, Divisia aggregates take into account the different degrees of ‘moneyness’ of each monetary asset. In addition, Divisia aggregates have shown to be empirically superior to simple-sum aggregates, providing stable money demand functions for different periods and countries. In a first stage, we test for cointegration and estimate a long-run equilibrium model. In a second stage, we estimate an error correction model to study the short-run dynamics. Consistent with previous research, our findings show the existence of a stable money demand function, which suggests that monetary aggregates, when properly measured, can be useful tools in the conduct of monetary policy. [Continue reading: AEL]

de la Horra, L. P., de la Fuente, G., & Perote, J. (2019). The drivers of Bitcoin demand: A short and long-run analysis. International Review of Financial Analysis, 62(March 2019), 21-34. https://doi.org/10.1016/J.IRFA.2019.01.006.

Since 2010, Bitcoin has shown high price volatility, spurring a debate regarding the underlying reasons that lead economic agents to demand it. This paper analyzes the demand for Bitcoin in order to determine whether it stems from Bitcoin’s utility as a medium of exchange, a speculative asset, or as a safe-haven commodity. We examine Bitcoin from a monetary-theory perspective and build a demand model that explores both the long-term and short-term relationships among variables. Our findings show that Bitcoin behaves as a speculative asset in the short term. In the long term, however, speculation does not seem to influence demand for Bitcoin. Instead, demand might be driven by expectations regarding Bitcoin’s future utility as a medium of exchange. [Continue reading: IRFA]

de la Horra, L. P., Perote, J., & de la Fuente, G. (2021). Monetary policy and corporate investment: A panel-data analysis of transmission mechanisms in contexts of high uncertainty. International Review of Economics & Finance, 75 (September 2021), 609-624. https://doi.org/10.1016/j.iref.2021.04.035.

This paper investigates the impact of monetary policy on firm-level investment in contexts of economic turmoil. Using a panel of US public firms for the period 2000–2019, we show that policy-rate-based transmission mechanisms are undermined when uncertainty spikes. Furthermore, we find evidence of the existence of asymmetries at the firm level. In line with real options theory’s, firms with higher levels of investment irreversibility, operational inflexibility, and market power, as well as firms with lower cash flows and who operate in low-innovation sectors tend to be less responsive to changes in monetary policy. The effectiveness of monetary policy thus depends on the ability of monetary authorities to reduce uncertainty via expectations-based monetary tools, whilst targeting those sectors more likely to be affected by monetary-policy shifts. [Continue reading: IREF]

de la Horra, L. P., Perote, J., de la Fuente, G. (2021). The impact of economic policy uncertainty and monetary policy on R&D investment: an option pricing approach. Economics Letters, 214, May 2022, 110413. https://doi.org/10.1016/j.econlet.2022.110413.

This paper adopts a real options approach to investigate the effects of economic policy uncertainty (EPU) and monetary policy on R&D investment. Using a panel of U.S. firms over the period 2000-2019, we show that higher (lower) EPU and contractionary (expansionary) monetary policy exert a positive (negative) and significant influence on R&D investment. Our findings shed light on the counter-intuitive impact of EPU and monetary policy on R&D projects, which may help policymakers to anticipate such collateral effects.

de la Horra, L. P., Perote, J., & de la Fuente, G. (2024). Beneath the surface: the asymmetric effects of unconventional monetary policy on corporate investment. Finance Research Letters, Volume 61, March 2024, 105050. https://doi.org/10.1016/j.frl.2024.105050.

This paper explores the asymmetric effects of unconventional monetary policy on corporate investment in the aftermath of the Great Recession. Using a comprehensive dataset of US listed firms, our research unveils a compelling insight: firms with higher investment irreversibility and market power are less responsive to fluctuations in corporate bond yields following an unconventional monetary policy announcement. These results emphasize the critical importance of taking into consideration firm-specific characteristics when formulating monetary policy, providing valuable insights for central banks aiming to enhance the effectiveness of their policies.

de la Horra, L.P., Giménez Roche, G.A., Gabriel, A., and Perote, J. (2024). Quantitative easing and correlation dynamics in the aftermath of the Great Recession: A dynamic conditional correlation with exogenous variables approach. Bulletin of Economic Research. https://doi.org/10.1111/boer.12463

Identifying the effects of quantitative easing (QE) on asset return correlations is critical to assessing such policies’ impact across financial markets. In this paper, we use a dynamic conditional correlation model that allows us to measure the impact of unconventional monetary policy on time-varying correlations. Our results suggest that QE significantly affected correlations between stocks and bonds after the Great Recession via short-term portfolio balance effects. The findings are critical for policy-makers and practitioners alike. Central banks should consider the impact of monetary policy on asset correlations in their cost–benefit analyses. Likewise, portfolio managers are encouraged to factor in the effects of monetary policy on correlations to optimize portfolios and reduce potential losses strategically.

de la Horra (2019). Why the World Needs More Immigration. Migration & Immigration, vol. 359, Independence Educational Publishers, pp. 27–28.[Continue reading: IEP]