Nour Meddahi : Citation Profile


Are you Nour Meddahi?

Toulouse School of Economics (TSE)

15

H index

18

i10 index

958

Citations

RESEARCH PRODUCTION:

20

Articles

37

Papers

RESEARCH ACTIVITY:

   19 years (1996 - 2015). See details.
   Cites by year: 50
   Journals where Nour Meddahi has often published
   Relations with other researchers
   Recent citing documents: 92.    Total self citations: 25 (2.54 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pme426
   Updated: 2019-10-06    RAS profile: 2015-11-19    
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Relations with other researchers


Works with:

Goncalves, Silvia (4)

Authors registered in RePEc who have co-authored more than one work in the last five years with Nour Meddahi.

Is cited by:

Shephard, Neil (82)

Barndorff-Nielsen, Ole (64)

Andersen, Torben (53)

Bollerslev, Tim (51)

Swanson, Norman (38)

Hansen, Peter (38)

Patton, Andrew (32)

Lunde, Asger (28)

Diebold, Francis (27)

McAleer, Michael (25)

Christoffersen, Peter (25)

Cites to:

Bollerslev, Tim (93)

Shephard, Neil (69)

Andersen, Torben (67)

Barndorff-Nielsen, Ole (48)

Diebold, Francis (45)

Hansen, Lars (42)

Drost, Feike C. (37)

Renault, Eric (31)

Scheinkman, Jose (24)

Tauchen, George (23)

Lunde, Asger (20)

Main data


Where Nour Meddahi has published?


Journals with more than one article published# docs
Journal of Econometrics7
Econometrica2

Working Papers Series with more than one paper published# docs
Staff Working Papers / Bank of Canada3
Econometric Society 2004 North American Winter Meetings / Econometric Society2
IDEI Working Papers / Institut d'…conomie Industrielle (IDEI), Toulouse2

Recent works citing Nour Meddahi (2018 and 2017)


YearTitle of citing document
2017Statistical tests for equal predictive ability across multiple forecasting methods. (2017). Borup, Daniel ; Thyrsgaard, Martin. In: CREATES Research Papers. RePEc:aah:create:2017-19.

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2017Inference from the futures: ranking the noise cancelling accuracy of realized measures. (2017). Mirone, Giorgio . In: CREATES Research Papers. RePEc:aah:create:2017-24.

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2017Is the diurnal pattern sufficient to explain the intraday variation in volatility? A nonparametric assessment. (2017). Podolskij, Mark ; Hounyo, Ulrich ; Christensen, Kim. In: CREATES Research Papers. RePEc:aah:create:2017-30.

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2018The realized empirical distribution function of stochastic variance with application to goodness-of-fit testing. (2018). Veliyev, Bezirgen ; Thyrsgaard, Martin ; Christensen, Kim. In: CREATES Research Papers. RePEc:aah:create:2018-19.

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2017The Local Fractional Bootstrap. (2017). Bennedsen, Mikkel ; Pakkanen, Mikko S ; Lunde, Asger ; Hounyo, Ulrich. In: Papers. RePEc:arx:papers:1605.00868.

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2018Efficient asymptotic variance reduction when estimating volatility in high frequency data. (2018). Potiron, Yoann ; Clinet, Simon. In: Papers. RePEc:arx:papers:1701.01185.

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2017Estimation for high-frequency data under parametric market microstructure noise. (2017). Potiron, Yoann ; Clinet, Simon. In: Papers. RePEc:arx:papers:1712.01479.

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2018Measuring Systematic Risk with Neural Network Factor Model. (2018). Huh, Jeonggyu. In: Papers. RePEc:arx:papers:1809.04925.

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2019Forecasting securitys volatility using low-frequency historical data, high-frequency historical data and option-implied volatility. (2019). Cui, Xiangyu ; Zhang, Zhiyuan ; Zhou, Yong ; Yuan, Huiling. In: Papers. RePEc:arx:papers:1907.02666.

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2019A Vine-copula extension for the HAR model. (2019). Magris, Martin. In: Papers. RePEc:arx:papers:1907.08522.

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2019Multivariate Modeling of Natural Gas Spot Trading Hubs Incorporating Futures Market Realized Volatility. (2019). Ensor, Katherine B ; Han, YU ; Weylandt, Michael. In: Papers. RePEc:arx:papers:1907.10152.

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2017Good Volatility, Bad Volatility and Option Pricing. (2017). Feunou, Bruno ; Okou, Cedric. In: Staff Working Papers. RePEc:bca:bocawp:17-52.

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2017INTERTEMPORAL SUBSTITUTION IN CONSUMPTION: A LITERATURE REVIEW. (2017). Thimme, Julian. In: Journal of Economic Surveys. RePEc:bla:jecsur:v:31:y:2017:i:1:p:226-257.

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2017Normality Tests for Latent Variables. (2017). Sentana, Enrique ; Amengual, Dante ; Almuzara, Tincho. In: Working Papers. RePEc:cmf:wpaper:wp2017_1708.

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2017Testing Distributional Assumptions Using a Continuum of Moments. (2017). Sentana, Enrique ; Amengual, Dante ; Carrasco, Marine. In: Working Papers. RePEc:cmf:wpaper:wp2017_1709.

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2017Normality Tests for Latent Variables. (2017). Almuzara, Tincho ; Sentana, Enrique ; Amengual, Dante. In: Working Papers. RePEc:cmf:wpaper:wp2018_1708.

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2017Testing Distributional Assumptions Using a Continuum of Moments. (2017). Amengual, Dante ; Sentana, Enrique ; Carrasco, Marine. In: Working Papers. RePEc:cmf:wpaper:wp2018_1709.

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2018Risk Everywhere: Modeling and Managing Volatility. (2018). Bollerslev, Tim ; Pedersen, Lasse Heje ; Huss, John ; Hood, Benjamin. In: CEPR Discussion Papers. RePEc:cpr:ceprdp:12687.

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2017Dynamic conditional score models with time-varying location, scale and shape parameters. (2017). Escribano, Alvaro ; Blazsek, Szabolcs ; Ayala, Astrid ; Saez, Alvaro Escribano. In: UC3M Working papers. Economics. RePEc:cte:werepe:25043.

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2019An analysis of the Eurosystem/ECB projections. (2019). Lambrias, Kyriacos ; Kontogeorgos, Georgios. In: Working Paper Series. RePEc:ecb:ecbwps:20192291.

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2019Oil price volatility and economic growth: Evidence from advanced economies using more than a century’s data. (2019). van Eyden, Renee ; Wohar, Mark E ; Gupta, Rangan ; Difeto, Mamothoana. In: Applied Energy. RePEc:eee:appene:v:233-234:y:2019:i::p:612-621.

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2019Modeling and forecasting return jumps using realized variation measures. (2019). Liu, YI ; Zhang, Lei. In: Economic Modelling. RePEc:eee:ecmode:v:76:y:2019:i:c:p:63-80.

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2017Modeling Latin-American stock and Forex markets volatility: Empirical application of a model with random level shifts and genuine long memory. (2017). Rodríguez, Gabriel ; Rodriguez, Gabriel. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:42:y:2017:i:c:p:393-420.

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2018Are low-frequency data really uninformative? A forecasting combination perspective. (2018). Ma, Feng ; Zhang, Yaojie ; Liu, LI. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:44:y:2018:i:c:p:92-108.

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2019Approximate analytical solutions for consumption/investment problems under recursive utility and finite horizon. (2019). Garcia, Rene ; Campani, Carlos Heitor. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:48:y:2019:i:c:p:364-384.

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2017Bootstrapping integrated covariance matrix estimators in noisy jump‚Äďdiffusion models with non-synchronous trading. (2017). Hounyo, Ulrich. In: Journal of Econometrics. RePEc:eee:econom:v:197:y:2017:i:1:p:130-152.

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2017Inference from high-frequency data: A subsampling approach. (2017). Veliyev, Bezirgen ; Thamrongrat, N ; Podolskij, M ; Christensen, K. In: Journal of Econometrics. RePEc:eee:econom:v:197:y:2017:i:2:p:245-272.

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2017A local stable bootstrap for power variations of pure-jump semimartingales and activity index estimation. (2017). Hounyo, Ulrich ; Varneskov, Rasmus T. In: Journal of Econometrics. RePEc:eee:econom:v:198:y:2017:i:1:p:10-28.

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2017On high frequency estimation of the frictionless price: The use of observed liquidity variables. (2017). Chaker, Selma . In: Journal of Econometrics. RePEc:eee:econom:v:201:y:2017:i:1:p:127-143.

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2017Mixed-scale jump regressions with bootstrap inference. (2017). Tauchen, George ; Li, Jia ; Todorov, Viktor. In: Journal of Econometrics. RePEc:eee:econom:v:201:y:2017:i:2:p:417-432.

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2018Two-stage stationary bootstrapping for bivariate average realized volatility matrix under market microstructure noise and asynchronicity. (2018). Hwang, Eunju ; Shin, Dong Wan. In: Journal of Econometrics. RePEc:eee:econom:v:202:y:2018:i:2:p:178-195.

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2018Asymptotic inference about predictive accuracy using high frequency data. (2018). Li, Jia ; Patton, Andrew J. In: Journal of Econometrics. RePEc:eee:econom:v:203:y:2018:i:2:p:223-240.

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2018Estimating the integrated volatility using high-frequency data with zero durations. (2018). Liu, Zhi ; Jing, Bing-Yi ; Kong, Xin-Bing. In: Journal of Econometrics. RePEc:eee:econom:v:204:y:2018:i:1:p:18-32.

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2018Efficient asymptotic variance reduction when estimating volatility in high frequency data. (2018). Clinet, Simon ; Potiron, Yoann. In: Journal of Econometrics. RePEc:eee:econom:v:206:y:2018:i:1:p:103-142.

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2018Modeling and forecasting (un)reliable realized covariances for more reliable financial decisions. (2018). Quaedvlieg, Rogier ; Patton, Andrew J ; Bollerslev, Tim. In: Journal of Econometrics. RePEc:eee:econom:v:207:y:2018:i:1:p:71-91.

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2019The scale of predictability. (2019). Bandi, F M ; Tebaldi, C ; Tamoni, A ; Perron, B. In: Journal of Econometrics. RePEc:eee:econom:v:208:y:2019:i:1:p:120-140.

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2019Alternative tests for correct specification of conditional predictive densities. (2019). Sekhposyan, Tatevik ; Rossi, Barbara. In: Journal of Econometrics. RePEc:eee:econom:v:208:y:2019:i:2:p:638-657.

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2017A distance test of normality for a wide class of stationary processes. (2017). Vavra, Marian ; Psaradakis, Zacharias. In: Econometrics and Statistics. RePEc:eee:ecosta:v:2:y:2017:i:c:p:50-60.

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2018Forecasting global stock market implied volatility indices. (2018). Filis, George ; Degiannakis, Stavros ; Hassani, Hossein. In: Journal of Empirical Finance. RePEc:eee:empfin:v:46:y:2018:i:c:p:111-129.

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2017Forecasting the good and bad uncertainties of crude oil prices using a HAR framework. (2017). Lin, Boqiang ; Gong, XU. In: Energy Economics. RePEc:eee:eneeco:v:67:y:2017:i:c:p:315-327.

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2018High-frequency volatility connectedness between the US crude oil market and Chinas agricultural commodity markets. (2018). Luo, Jiawen ; Ji, Qiang. In: Energy Economics. RePEc:eee:eneeco:v:76:y:2018:i:c:p:424-438.

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2019Analyzing the economic sources of oil price volatility: An out-of-sample perspective. (2019). Liu, LI ; Meng, Fanyi . In: Energy. RePEc:eee:energy:v:177:y:2019:i:c:p:476-486.

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2018Time varying volatility indices and their determinants: Evidence from developed and emerging stock markets. (2018). Prasad, Nalin ; Kim, Suk-Joong ; Grant, Andrew. In: International Review of Financial Analysis. RePEc:eee:finana:v:60:y:2018:i:c:p:115-126.

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2018Forecasting realized volatility based on the truncated two-scales realized volatility estimator (TTSRV): Evidence from Chinas stock market. (2018). Ping, Yuan ; Li, Rui. In: Finance Research Letters. RePEc:eee:finlet:v:25:y:2018:i:c:p:222-229.

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2017Value-at-Risk under L√©vy GARCH models: Evidence from global stock markets. (2017). BenSa√ɬĮda, Ahmed ; Slim, Skander ; Bensaida, Ahmed ; Koubaa, Yosra. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:46:y:2017:i:c:p:30-53.

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2017Realised variance forecasting under Box-Cox transformations. (2017). Taylor, Nick. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:4:p:770-785.

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2018An approximate long-memory range-based approach for value at risk estimation. (2018). Meng, Xiaochun ; Taylor, James W. In: International Journal of Forecasting. RePEc:eee:intfor:v:34:y:2018:i:3:p:377-388.

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2018Oil volatility risk and expected stock returns. (2018). Christoffersen, Peter ; Pan, Xuhui . In: Journal of Banking & Finance. RePEc:eee:jbfina:v:95:y:2018:i:c:p:5-26.

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2019The asymmetric effect of equity volatility on credit default swap spreads. (2019). Lee, Hwang Hee ; Hyun, Jung-Soon. In: Journal of Banking & Finance. RePEc:eee:jbfina:v:98:y:2019:i:c:p:125-136.

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2018Interest rate volatility, the yield curve, and the macroeconomy. (2018). Joslin, Scott ; Konchitchki, Yaniv. In: Journal of Financial Economics. RePEc:eee:jfinec:v:128:y:2018:i:2:p:344-362.

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2018Asset pricing with beliefs-dependent risk aversion and learning. (2018). Berrada, Tony ; Rindisbacher, Marcel ; Detemple, Jerome ; De Temple, Jerome. In: Journal of Financial Economics. RePEc:eee:jfinec:v:128:y:2018:i:3:p:504-534.

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2018Downside risks and the cross-section of asset returns. (2018). Farago, Adam ; Tedongap, Romeo. In: Journal of Financial Economics. RePEc:eee:jfinec:v:129:y:2018:i:1:p:69-86.

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2017Violations of uncovered interest rate parity and international exchange rate dependences. (2017). Ames, Matthew ; Peters, Gareth W ; Bagnarosa, Guillaume. In: Journal of International Money and Finance. RePEc:eee:jimfin:v:73:y:2017:i:pa:p:162-187.

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2017Forecasting oil price realized volatility using information channels from other asset classes. (2017). Filis, George ; Degiannakis, Stavros. In: Journal of International Money and Finance. RePEc:eee:jimfin:v:76:y:2017:i:c:p:28-49.

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2017Volatility forecasting using high frequency data: The role of after-hours information and leverage effects. (2017). Zhu, Xuehong ; Zhong, Meirui ; Zhang, Hongwei. In: Resources Policy. RePEc:eee:jrpoli:v:54:y:2017:i:c:p:58-70.

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2019Volatility forecasting of crude oil futures: The role of investor sentiment and leverage effect. (2019). Gong, XU ; Yang, Cai ; Zhang, Hongwei. In: Resources Policy. RePEc:eee:jrpoli:v:61:y:2019:i:c:p:548-563.

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2019The nexus between the oil price and its volatility risk in a stochastic volatility in the mean model with time-varying parameters. (2019). Balcilar, Mehmet ; Ozdemir, Zeynel Abidin. In: Resources Policy. RePEc:eee:jrpoli:v:61:y:2019:i:c:p:572-584.

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2018Global price discovery in the Australian dollar market and its determinants. (2018). Su, Fei ; Zhang, Jingjing. In: Pacific-Basin Finance Journal. RePEc:eee:pacfin:v:48:y:2018:i:c:p:35-55.

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2019Forecasting the U.S. stock volatility: An aligned jump index from G7 stock markets. (2019). Zhang, Yaojie ; Wahab, M. I. M., ; Ma, Feng. In: Pacific-Basin Finance Journal. RePEc:eee:pacfin:v:54:y:2019:i:c:p:132-146.

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2017Can macroeconomic dynamics explain the time variation of risk‚Äďreturn trade-offs in the U.S. financial market?. (2017). Liu, Xiaochun. In: The Quarterly Review of Economics and Finance. RePEc:eee:quaeco:v:66:y:2017:i:c:p:275-293.

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2017Realized volatility forecast of agricultural futures using the HAR models with bagging and combination approaches. (2017). Yang, KE ; Li, Steven ; Chen, Langnan ; Tian, Fengping. In: International Review of Economics & Finance. RePEc:eee:reveco:v:49:y:2017:i:c:p:276-291.

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2017Forecasting realized volatility: HAR against Principal Components Combining, neural networks and GARCH. (2017). Vortelinos, Dimitrios I. In: Research in International Business and Finance. RePEc:eee:riibaf:v:39:y:2017:i:pb:p:824-839.

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2017Edgeworth expansion for the pre-averaging estimator. (2017). Veliyev, Bezirgen ; Yoshida, Nakahiro ; Podolskij, Mark. In: Stochastic Processes and their Applications. RePEc:eee:spapps:v:127:y:2017:i:11:p:3558-3595.

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2017Estimation of the realized (co-)volatility vector: Large deviations approach. (2017). Djellout, Hacene ; Samoura, Yacouba ; Guillin, Arnaud . In: Stochastic Processes and their Applications. RePEc:eee:spapps:v:127:y:2017:i:9:p:2926-2960.

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2018The scale of predictability. (2018). Bandi, F M ; Tebaldi, C ; Tamoni, Andrea ; Perron, B. In: LSE Research Online Documents on Economics. RePEc:ehl:lserod:85646.

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2017The nexus between the oil price and its volatility in a stochastic volatility in mean model with time-varying parameters. (2017). Ozdemir, Zeynel ; Balcilar, Mehmet. In: Working Papers. RePEc:emu:wpaper:15-33.pdf.

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2018The volatility effect on precious metals prices in a stochastic volatility in mean model with time-varying parameters. (2018). Ozdemir, Zeynel ; Balcilar, Mehmet. In: Working Papers. RePEc:emu:wpaper:15-34.pdf.

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2019New testing approaches for mean-variance predictability. (2019). Sentana, Enrique ; Fiorentini, Gabriele. In: Econometrics Working Papers Archive. RePEc:fir:econom:wp2019_01.

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2017Time-Varying Window Length for Correlation Forecasts. (2017). McCurdy, Tom ; Jeon, Yoontae . In: Econometrics. RePEc:gam:jecnmx:v:5:y:2017:i:4:p:54-:d:122391.

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2017The contribution of jumps to forecasting the density of returns. (2017). S√ɬ©vi, Beno√ɬģt ; Ielpo, Florian ; Sevi, Benoit ; Chorro, Christophe. In: Universit√© Paris1 Panth√©on-Sorbonne (Post-Print and Working Papers). RePEc:hal:cesptp:halshs-01442618.

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2017LARGE DEVIATIONS OF THE REALIZED (CO-)VOLATILITY VECTOR. (2017). Djellout, Hacene ; Samoura, Yacouba ; Guillin, Arnaud . In: Post-Print. RePEc:hal:journl:hal-01082903.

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2018Volatility Estimation and Jump Detection for drift-diffusion Processes. (2018). Shi, Shuping ; Laurent, Sebastien. In: Working Papers. RePEc:hal:wpaper:halshs-01944449.

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2017Bootstrapping high-frequency jump tests. (2017). Goncalves, Silvia ; Dovonon, Prosper ; Meddahi, Nour ; Hounyo, Ulrich. In: IDEI Working Papers. RePEc:ide:wpaper:31735.

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2018Estimation of Dynamic Mixed Hitting Time Model Using Characteristic Function Based Moments. (2018). Purwono, Yogo ; Husodo, Zaafri Ananto ; Ekaputra, Irwan Adi . In: Computational Economics. RePEc:kap:compec:v:51:y:2018:i:2:d:10.1007_s10614-017-9692-6.

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2017The contribution of jumps to forecasting the density of returns. (2017). S√ɬ©vi, Beno√ɬģt ; Ielpo, Florian ; Sevi, Benoit ; Chorro, Christophe. In: Documents de travail du Centre d'Economie de la Sorbonne. RePEc:mse:cesdoc:17006.

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2019Nonparametric conditional density specification testing and quantile estimation; with application to S&P500 returns. (2002). Marsh, Patrick. In: Discussion Papers. RePEc:not:notgts:19/02.

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2017Forecasting realized volatility: a review. (2017). Bucci, Andrea. In: MPRA Paper. RePEc:pra:mprapa:83232.

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2019Oil price volatility forecasts: What do investors need to know?. (2019). Filis, George ; Degiannakis, Stavros. In: MPRA Paper. RePEc:pra:mprapa:94445.

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2019New testing approaches for mean-variance predictability. (2019). Sentana, Enrique ; Fiorentini, Gabriele. In: Working Paper series. RePEc:rim:rimwps:19-01.

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2018S&P500 volatility analysis using high-frequency multipower variation volatility proxies. (2018). chin, wencheong ; Lee, Min Cherng. In: Empirical Economics. RePEc:spr:empeco:v:54:y:2018:i:3:d:10.1007_s00181-017-1345-z.

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2018Ad-Hoc Black‚ÄďScholes vis-√†-vis TSRV-based Black‚ÄďScholes: Evidence from Indian Options Market. (2018). Dixit, Alok ; Singh, Shivam . In: Journal of Quantitative Economics. RePEc:spr:jqecon:v:16:y:2018:i:1:d:10.1007_s40953-017-0078-3.

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2017Normality Tests for Dependent Data. (2017). Vavra, Marian ; Psaradakis, Zacharias. In: Working and Discussion Papers. RePEc:svk:wpaper:1053.

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2017Forecasting REIT volatility with high-frequency data: a comparison of alternative methods. (2017). Zhou, Jian. In: Applied Economics. RePEc:taf:applec:v:49:y:2017:i:26:p:2590-2605.

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2017Nonparametric Estimation of the Leverage Effect: A Trade-Off Between Robustness and Efficiency. (2017). Kalnina, Ilze ; Xiu, Dacheng. In: Journal of the American Statistical Association. RePEc:taf:jnlasa:v:112:y:2017:i:517:p:384-396.

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2017Bootstrapping high-frequency jump tests. (2017). Goncalves, Silvia ; Dovonon, Prosper ; Meddahi, Nour ; Hounyo, Ulrich. In: TSE Working Papers. RePEc:tse:wpaper:31740.

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2017Alternative tests for correct specification of conditional predictive densities. (2017). Sekhposyan, Tatevik ; Rossi, Barbara. In: Economics Working Papers. RePEc:upf:upfgen:1416.

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2018Essays on Price Discovery and Volatility Dynamics in the Foreign Exchange Market. (2018). Su, Fei. In: PhD Thesis. RePEc:uts:finphd:2-2018.

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2018Essays on Price Discovery and Volatility Dynamics in the Foreign Exchange Market. (2018). Su, Fei. In: PhD Thesis. RePEc:uts:finphd:39.

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2019Investor Structure and Stock Price Crash Risk in a Continuous Double Auction Market: An Agent-Based Perspective. (2019). Zhang, Wei ; Shen, Dehua ; Xiong, Xiong ; Zhao, Ruwei. In: International Journal of Information Technology & Decision Making (IJITDM). RePEc:wsi:ijitdm:v:18:y:2019:i:02:n:s0219622019500081.

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2018Comparison of the Korean and US Stock Markets Using Continuous-time Stochastic Volatility Models. (2018). Choi, Seungmoon. In: KDI Journal of Economic Policy. RePEc:zbw:kdijep:200829.

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Works by Nour Meddahi:


YearTitleTypeCited
2013Bootstrap inference for pre-averaged realized volatility based on non-overlapping returns In: CREATES Research Papers.
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paper4
2014Bootstrap Inference for Pre-averaged Realized Volatility based on Nonoverlapping Returns.(2014) In: Journal of Financial Econometrics.
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This paper has another version. Agregated cites: 4
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2013Bootstrapping pre-averaged realized volatility under market microstructure noise In: CREATES Research Papers.
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paper6
2012The Economic Value of Realized Volatility: Using High-Frequency Returns for Option Valuation In: Staff Working Papers.
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paper28
2014The Economic Value of Realized Volatility: Using High-Frequency Returns for Option Valuation.(2014) In: Journal of Financial and Quantitative Analysis.
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This paper has another version. Agregated cites: 28
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2013Volatility Forecasting when the Noise Variance Is Time-Varying In: Staff Working Papers.
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paper2
2013A Distributional Approach to Realized Volatility In: Staff Working Papers.
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paper0
2006Comment In: Journal of Business & Economic Statistics.
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article0
2005Jean-Jacques Laffont et léconomie appliquée In: Revue d'économie politique.
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article0
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2000Temporal Aggregation of Volatility Models.(2000) In: Econometric Society World Congress 2000 Contributed Papers.
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2004Temporal aggregation of volatility models.(2004) In: Journal of Econometrics.
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2001An Eigenfunction Approach for Volatility Modeling In: CIRANO Working Papers.
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2001An Eigenfunction Approach for Volatility Modeling..(2001) In: Cahiers de recherche.
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2001An Eigenfunction Approach for Volatility Modeling..(2001) In: Cahiers de recherche.
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2001A Theoretical Comparison Between Integrated and Realized Volatilities In: CIRANO Working Papers.
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2001A Theoretical Comparison Between Integrated and Realized Volatilies.(2001) In: Cahiers de recherche.
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2002Testing Normality: A GMM Approach In: CIRANO Working Papers.
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2002Testing Normality : A GMM Approach.(2002) In: Cahiers de recherche.
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2002TESTING NORMALITY : A GMM APPROACH.(2002) In: Cahiers de recherche.
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2005Testing normality: a GMM approach.(2005) In: Journal of Econometrics.
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2002Analytic Evaluation of Volatility Forecasts In: CIRANO Working Papers.
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2004ANALYTICAL EVALUATION OF VOLATILITY FORECASTS.(2004) In: International Economic Review.
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2002Correcting the Errors: A Note on Volatility Forecast Evaluation Based on High-Frequency Data and Realized Volatilities In: CIRANO Working Papers.
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2002CORRECTING THE ERRORS : A NOTE ON VOLATILITY FORECAST EVALUATION BASED ON HIGH-FREQUENCY DATA AND REALIZED VOLATILITIES.(2002) In: Cahiers de recherche.
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2002ARMA Representation of Two-Factor Models In: CIRANO Working Papers.
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2003ARMA representation of integrated and realized variances.(2003) In: Econometrics Journal.
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2005Correcting the Errors: Volatility Forecast Evaluation Using High-Frequency Data and Realized Volatilities In: Econometrica.
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2003GARCH and Irregularly Spaced Data.(2003) In: Discussion Paper.
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1998Aggregations and Marginalization of GARCH and Stochastic Volatility Models.(1998) In: Cahiers de recherche.
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2002A theoretical comparison between integrated and realized volatility In: Journal of Applied Econometrics.
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2001A Theoretical Comparison Between Integrated and Realized Volatilies.(2001) In: Cahiers de recherche.
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