551 research outputs found

    Forecasting Value-at-Risk using block structure multivariate stochastic volatility models

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    Most multivariate variance or volatility models suffer from a common problem, the “curse of dimensionality”. For this reason, most are fitted under strong parametric restrictions that reduce the interpretation and flexibility of the models. Recently, the literature has focused on multivariate models with milder restrictions, whose purpose is to combine the need for interpretability and efficiency faced by model users with the computational problems that may emerge when the number of assets can be very large. A contribution to this strand of the literature including a block-type parameterization for multivariate stochastic volatility models is provided. The empirical analysis on stock returns on the US market shows that 1% and 5% Value-at-Risk thresholds based on one-step-ahead forecasts of covariances by the new specification are satisfactory for the period including the Global Financial Crisis

    Comprehensive diagnosis of bacterial infection associated with acute cholecystitis using metagenomics approach

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    主査 : 舘田一博 / タイトル : Comprehensive diagnosis of bacterial infection associated with acute cholecystitis using metagenomics approach /著者 : Manabu Kujiraoka, Makoto Kuroda, Koji Asai, Tsuyoshi Sekizuka, Kengo Kato, Manabu Watanabe, Hiroshi Matsukiyo, Tomoaki Saito, Tomotaka Ishii, Natsuya Katada, Yoshihisa Saida, Shinya Kusachi /掲載誌 : Frontiers in Microbiology /巻号・発行年等 : 8:685, 201

    Comprehensive diagnosis of bacterial infection associated with acute cholecystitis using metagenomics approach

    No full text
    主査 : 舘田一博 / タイトル : Comprehensive diagnosis of bacterial infection associated with acute cholecystitis using metagenomics approach /著者 : Manabu Kujiraoka, Makoto Kuroda, Koji Asai, Tsuyoshi Sekizuka, Kengo Kato, Manabu Watanabe, Hiroshi Matsukiyo, Tomoaki Saito, Tomotaka Ishii, Natsuya Katada, Yoshihisa Saida, Shinya Kusachi /掲載誌 : Frontiers in Microbiology /巻号・発行年等 : 8:685, 201

    Supplemental material for A novel protocol for three-dimensional rotational venography with low-dose contrast media in preoperative angiography of brain tumours

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    Supplemental Material for A novel protocol for three-dimensional rotational venography with low-dose contrast media in preoperative angiography of brain tumours by Kimiaki Kashimoto, Katsunori Asai, Manabu Kinoshita, Yoshiko Okita, Shogo Tanabe, Yasuhiko Yamane, Minoru Kawamata, Akitoshi Yoneda and Katsuyuki Nakanishi in The Neuroradiology Journal</p

    Asymptotic Theory for Robust Autocorrelation Test under Stochastic Volatility

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    Wooldridge (1991) suggest a robust test for autocorrelations of the disturbances of regression models, under misspecified conditional heteroskedastic model. Although stochastic volatility (SV) models allow unconditional time-varying variance, the Monte Carlo results of Asai (2000) indicate that the test of Wooldridge (1991) is robust under the SV process. This paper shows that the test statistic has asymptotic χ2 distribution under the null hypothesis of no serial correlation, even when the underlying process has stochastic volatility.departmental bulletin pape

    P-adic asai L-functions of bianchi modular forms

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    The Asai (or twisted tensor) L-function of a Bianchi modular form Ψ is the L-function attached to the tensor induction to ℚ of its associated Galois representation. In this paper, when Ψ is ordinary at p we construct a p-adic analogue of this L-function: that is, a p-adic measure on ℤ×p that interpolates the critical values of the Asai L-function twisted by Dirichlet characters of p-power conductor. The construction uses techniques analogous to those used by Lei, Zerbes and the first author in order to construct an Euler system attached to the Asai representation of a quadratic Hilbert modular form

    Some Remarks on Cognacy Judgments of Ainu Dialects : On Asai (1974)

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    There are two lexicostatistical studies on Ainu dialects that still have a great influence on currentAinu linguistics: they are by Hattori and Chiri (1960) and Asai (1974). However, Hattori and Chiri (1960) and Asai (1974) analyzed different parts of lexicostatistical data based on different cognacy judgments. This led to an inconsistency in the classification of Ainu dialects in recent studies. Furthermore, the difficulties in the specification of 110 words and the corresponding cognacy judgments by Asai have prevented researchers from examining, comparing, and integrating the works of Hattori and Chiri (1960) and Asai (1974).This paper is an attempt to identify 110 words from 135 candidates and the corresponding cognacy judgments by Asai, and adopt an approach that enables Ainu linguists to discuss the validation of the cognacy judgments by Asai. The approach can identify the assumptions on Asai`s data with the results on the specification of the words and the corresponding cognacy judgments. Therefore, the properties of the approach enable the author to examine the specification of the words and the corresponding cognacy judgments from a linguistic perspective and revise the assumptions on Asai's data from the viewpoints of Hattori and Chiri (1960). The primary results in this paper demonstrate that (1) the descriptions by Asai are insufficient for specifying all 110 words and (2) part of the non-cognate judgments in Asai, specified by our approach, differ from a phonetic correspondence among Hokkaido Ainu dialects and Sakhalin Ainu dialects on Ainu linguistics (Hattori 1967: 209). Furthermore, the statistical findings demonstrate that the view on lexicostatistical data in Asai (1974) classifies Tarantomari and Maoka into different clusters, and Tarantomari and Maoka form one cluster from the viewpoints of Hattori and Chiri (1960), which is consistent to linguistic and philological studies (e.g., Sakaguchi 2019). This suggests a need for the classification of Ainu dialects through the integration of Hattori and Chiri's (1960) and Asai's (1974) works

    Some Remarks on Cognacy Judgments of Ainu Dialects : On Asai (1974)

    No full text
    There are two lexicostatistical studies on Ainu dialects that still have a great influence on currentAinu linguistics: they are by Hattori and Chiri (1960) and Asai (1974). However, Hattori and Chiri (1960) and Asai (1974) analyzed different parts of lexicostatistical data based on different cognacy judgments. This led to an inconsistency in the classification of Ainu dialects in recent studies. Furthermore, the difficulties in the specification of 110 words and the corresponding cognacy judgments by Asai have prevented researchers from examining, comparing, and integrating the works of Hattori and Chiri (1960) and Asai (1974).This paper is an attempt to identify 110 words from 135 candidates and the corresponding cognacy judgments by Asai, and adopt an approach that enables Ainu linguists to discuss the validation of the cognacy judgments by Asai. The approach can identify the assumptions on Asai`s data with the results on the specification of the words and the corresponding cognacy judgments. Therefore, the properties of the approach enable the author to examine the specification of the words and the corresponding cognacy judgments from a linguistic perspective and revise the assumptions on Asai's data from the viewpoints of Hattori and Chiri (1960). The primary results in this paper demonstrate that (1) the descriptions by Asai are insufficient for specifying all 110 words and (2) part of the non-cognate judgments in Asai, specified by our approach, differ from a phonetic correspondence among Hokkaido Ainu dialects and Sakhalin Ainu dialects on Ainu linguistics (Hattori 1967: 209). Furthermore, the statistical findings demonstrate that the view on lexicostatistical data in Asai (1974) classifies Tarantomari and Maoka into different clusters, and Tarantomari and Maoka form one cluster from the viewpoints of Hattori and Chiri (1960), which is consistent to linguistic and philological studies (e.g., Sakaguchi 2019). This suggests a need for the classification of Ainu dialects through the integration of Hattori and Chiri's (1960) and Asai's (1974) works

    Dynamic Conditional Correlations for Asymmetric Processes

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    The paper develops two Dynamic Conditional Correlation (DCC) models, namely the Wishart DCC (wDCC) model. The paper applies the wDCC approach to the exponential GARCH (EGARCH) and GJR models to propose asymmetric DCC models. We use the standardized multivariate t-distribution to accommodate heavy-tailed errors. The paper presents an empirical example using the trivariate data of the Nikkei 225, Hang Seng and Straits Times Indices for estimating and forecasting the wDCC-EGARCH and wDCC-GJR models, and compares the performance with the asymmetric BEKK model. The empirical results show that AIC and BIC favour the wDCC-EGARCH model to the wDCC-GJR, asymmetric BEKK and alternative conventional DCC models. Moreover, the empirical results indicate that the wDCC-EGARCH-t model produces reasonable VaR threshold forecasts, which are very close to the nominal 1% to 3% values.Dynamic conditional correlations, Wishart process, EGARCH, GJR, asymmetric BEKK, heavy-tailed errors.

    Alternative Asymmetric Stochastic Volatility Models

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    The stochastic volatility model usually incorporates asymmetric effects by introducing the negative correlation between the innovations in returns and volatility. In this paper, we propose a new asymmetric stochastic volatility model, based on the leverage and size effects. The model is a generalization of the exponential GARCH (EGARCH) model of Nelson (1991). We consider categories for asymmetric effects, which describes the difference among the asymmetric effect of the EGARCH model, the threshold effects indicator function of Glosten, Jagannathan and Runkle (1992), and the negative correlation between the innovations in returns and volatility. The new model is estimated by the efficient importance sampling method of Liesenfeld and Richard (2003), and the finite sample properties of the estimator are investigated using numerical simulations. Four financial time series are used to estimate the alternative asymmetric SV models, with empirical asymmetric effects found to be statistically significant in each case. The empirical results for S&P 500 and Yen/USD returns indicate that the leverage and size effects are significant, supporting the general model. For TOPIX and USD/AUD returns, the size effect is insignificant, favoring the negative correlation between the innovations in returns and volatility. We also consider standardized t distribution for capturing the tail behavior. The results for Yen/USD returns show that the model is correctly specified, while the results for three other data sets suggest there is scope for improvement.Stochastic volatility; asymmetric effects; leverage; threshold; indicator function; importance sampling; numerical simulations
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