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Tracking the Exchange Rate Management in Latin America. (2015). Carrera, Cesar.
In: Working Papers.
RePEc:apc:wpaper:2015-028.

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Cited: 8

Citations received by this document

Cites: 18

References cited by this document

Cocites: 41

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Coauthors: 0

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Citations

Citations received by this document

  1. Do psychological barriers exist in Latin American stock markets?. (2020). Fortuna, Natrcia ; Lobo, Jlio ; Silva, Franklin.
    In: Revista de Analisis Economico – Economic Analysis Review.
    RePEc:ila:anaeco:v:35:y:2020:i:2:p:29-56.

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  2. Financial crime ‘hot spots’ – empirical evidence from the foreign exchange market. (2018). el Mouaaouy, Florian.
    In: The European Journal of Finance.
    RePEc:taf:eurjfi:v:24:y:2018:i:7-8:p:565-583.

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  3. Does the board of directors as Fat Cats exert more earnings management? Evidence from Benford’s law. (2018). Lin, Fengyi ; Wang, Teng-Shih ; Yeh, Chin-Chen .
    In: The Quarterly Review of Economics and Finance.
    RePEc:eee:quaeco:v:68:y:2018:i:c:p:158-170.

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  4. Regular paths in financial markets: Investigating the Benfords law. (2018). Cerqueti, Roy ; Riccioni, Jessica.
    In: Chaos, Solitons & Fractals.
    RePEc:eee:chsofr:v:107:y:2018:i:c:p:186-194.

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  5. Data science for assessing possible tax income manipulation: The case of Italy. (2017). ausloos, marcel ; Mir, Tariq A ; Cerqueti, Roy.
    In: Chaos, Solitons & Fractals.
    RePEc:eee:chsofr:v:104:y:2017:i:c:p:238-256.

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  6. Data science for assessing possible tax income manipulation: The case of Italy. (2017). Cerqueti, Roy ; ausloos, marcel ; Mir, Tariq A.
    In: Papers.
    RePEc:arx:papers:1709.02129.

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  7. Regularities and discrepancies of credit default swaps: a data science approach through Benfords law. (2016). Cerqueti, Roy ; Castellano, Rosella ; Ausloos, Marcel.
    In: Chaos, Solitons & Fractals.
    RePEc:eee:chsofr:v:90:y:2016:i:c:p:8-17.

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  8. Regularities and Discrepancies of Credit Default Swaps: a Data Science approach through Benfords Law. (2016). Cerqueti, Roy ; Castellano, Rosella ; ausloos, marcel.
    In: Papers.
    RePEc:arx:papers:1603.01103.

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References

References cited by this document

  1. Abrantes-Metz, R., Bajari, P., 2009. Screens for conspiracies and their multiple applications. Antitrust Magazine, December.
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  2. Abrantes-Metz, R., Villas-Boas, S., Judge, G., 2011. Tracking the Libor rate. Applied Economic Letters 18, 893 – 899.

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  11. Gottwald, G., Nicol, M., 2002. On the nature of Benford’s Law. Physica A, 303, 387–396.

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  13. Ley, E., 1996. On the peculiar distribution of the U.S. stock indexes’ digits. American Statistician, 50 (4), 311–313.
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  15. Lolbert, T., 2008. On the non-existence of a general Benford’s law. Mathematical Social Sciences, 55, 103–106.

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  18. Varian, H., 1972. Benford’s law. American Statistician, 26, 65.
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Cocites

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  2. Screening for partial collusion in retail electricity markets. (2023). Skjeret, Frode ; Garcia, Armando J.
    In: Energy Economics.
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  3. Manipulation in reported dividends: Empirical evidence from US banks. (2023). Mallios, Aineas Kostas.
    In: Economics Bulletin.
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  4. The information in global interest rate futures contracts. (2022). You, YU ; Teterin, Pavel ; Cline, Brandon N ; Brooks, Robert.
    In: Journal of Futures Markets.
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  5. Connectedness of money market instruments: A time-varying vector autoregression approach. (2022). Muchimba, Lilian.
    In: Working Papers in Economics & Finance.
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  6. Applying Benford’s Law to Detect Accounting Data Manipulation in the Banking Industry. (2021). Papanikolaou, Nikolaos ; Grammatikos, Theoharry.
    In: Journal of Financial Services Research.
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  7. Evaluating Euribor Manipulation: Effects on Mortgage Borrowers. (2021). Sanz-Gomez, Jose-Antonio ; Rojo-Garcia, Jose-Luis ; Rodriguez-Fernandez, Jose-Miguel ; Mate-Garcia, Jorge-Julio ; Fernandez-Abascal, Hermenegildo ; Rodriguez-Lopez, Araceli.
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  8. Financial crime ‘hot spots’ – empirical evidence from the foreign exchange market. (2018). el Mouaaouy, Florian.
    In: The European Journal of Finance.
    RePEc:taf:eurjfi:v:24:y:2018:i:7-8:p:565-583.

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  9. Does a bank levy increase frictions on the interbank market?. (2018). Snarska, Malgorzata ; Skorulska, Karolina ; Mielus, Piotr ; Hryckiewicz, Aneta.
    In: Working Papers.
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  10. Information and Transparency in Wholesale Electricity Markets: Evidence from Alberta. (2018). Eckert, Andrew ; Brown, David ; Lin, James.
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  11. Complements and Substitutes in Sequential Auctions: The Case of Water Auctions. (2018). Donna, Javier ; Espin-Sanchez, Jose .
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  12. Information and transparency in wholesale electricity markets: evidence from Alberta. (2018). Eckert, Andrew ; Brown, David ; Lin, James.
    In: Journal of Regulatory Economics.
    RePEc:kap:regeco:v:54:y:2018:i:3:d:10.1007_s11149-018-9372-z.

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  13. Market inconsistencies of the market-consistent European life insurance economic valuations: pitfalls and practical solutions. (2017). Prigent, Jean-Luc ; Loisel, Stéphane ; Vedani, Julien ; el Karoui, Nicole.
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  14. Data science for assessing possible tax income manipulation: The case of Italy. (2017). ausloos, marcel ; Mir, Tariq A ; Cerqueti, Roy.
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  15. The Manipulation Potential of Libor and Euribor. (2017). Eisl, Alexander ; Subrahmanyam, Marti G ; Jankowitsch, Rainer.
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  18. LIBOR troubles: Anomalous movements detection based on maximum entropy. (2016). Fernandez Bariviera, Aurelio ; Plastino, Angelo ; Martin, Maria T ; Vampa, Victoria .
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  23. Tracking exchange rate management in Latin America. (2015). Carrera, Cesar.
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  24. Statistical corruption in Beijing’s air quality data has likely ended in 2012. (2015). Stoerk, Thomas.
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  32. Tracking the Exchange Rate Management in Latin America. (2015). Carrera, Cesar.
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