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Hajj fund must be managed effectively with a diligent approach of standard risk management. This study examines the level of risk management The Hajj Fund Management Agency (BPKH) performs in optimizing its investments: fund and fixed asset portfolios. The measurement data was initially and purposively retrieved. It was later run and processed through linear programming for further analyses. The results indicate that Sharia banking deposits and gold are riskless assets. As far as other asset portfolios, investments are placed strictly based on direct and indirect participation according to the government's regulations to avoid the pressures of market volatility. This study serves as a reference for regulators in formulating appropriate strategic asset allocation to applied related optimized management of hajj fund investment.JEL Classification: C44, C51, C58, C61, D81, E22, E47How to Cite:Witjaksono, B., & Hamzah. (2021). Optimum Strategic of Asset Allocation for Indonesian Hajj Fund. Signifikan: Jurnal Ilmu Ekonomi, 10(2), 195-208. https://doi.org/10.15408/sjie.v10i2.20020.

The present paper examines the trends of fiscal deficit and economic growth in India from 1980-81 to 2017-18 and also analyses the impact of fiscal deficit on Indian economic growth by using regression model. The impact of fiscal deficit has always been a subject of intense debate. Some academician emphasized that fiscal deficit as a growth promoting tool due to increase in government expenditure, while others emphasize that the fiscal disciple as the most important for strengthening macroeconomic fundamentals of the economy. The regression result of the paper indicates that there is negative and significant impact of fiscal deficit on the economic growth of India. The research paper suggested that fiscal deficit within limit is good for economic growth and the government fund should be spent on beneficial projects. It is also suggested that sustainable economic growth and steady reduction in fiscal deficit can be achieved through fiscal policy reforms in India.Classification-JEL : C58

This paper develops high-frequency econometric methods to test for jumps in the spread of bond yields. We derive a coherent inference procedure that detects a jump in the yield spread only if at least one of the two underlying bonds displays a jump. We formalize the test as a sequential procedure in the context of an intersection union test in multiple testing and introduce a new bivariate jump test for pre-averaged intra-day returns. In an empirical application involving high-frequency data of U.S. government bonds, we contrast response patterns of term spreads and break-even in ation across monetary policy announcements, in ation, and employment news releases.

Katharine Cleland's Irregular Unions provides the first sustained literary history of clandestine marriage in early modern England and reveals its controversial nature in the wake of the Elizabethan Religious Settlement, which standardized the marriage ritual for the first time. Cleland examines many examples of clandestine marriage across genres. Discussing such classic works as The Faerie Queene, Othello, and The Merchant of Venice, she argues that early modern authors used clandestine marriage to explore the intersection between the self and the marriage ritual in post-Reformation England. The ways in which authors grappled with the political and social complexities of clandestine marriage, Cleland finds, suggest that these narratives were far more than interesting plot devices or scandalous stories ripped from the headlines. Instead, after the Reformation, fictions of clandestine marriage allowed early modern authors to explore topics of identity formation in new and different ways. ; Publication of this book was supported by Virginia Tech through the TOME Open Monograph Initiative.

This paper proposes a new measure for the evaluation of financial market efficiency, the so-called intermittency coefficient. This is a multifractality measure that can quantify the deviation from a random walk within the framework of the multifractal random walk model by Bacry et al. (2001b). While the random walk corresponds to the most genuine form of market efficiency, the larger the value of the intermittency coefficient is, the more inefficient a market would be. In contrast to commonly used methods based on Hurst exponents, the intermittency coefficient is a more powerful tool due to its well-established inference apparatus based on the generalised method of moments estimation technique. In an empirical application using data from the largest currently existing market for tradable pollution permits, the European Union Emissions Trading Scheme, we show that this market becomes more efficient over time. In addition, the degree of market efficiency is overall similar to that for the US stock market; for one sub-period, the market efficiency is found to be higher. While the first finding is anticipated, the second finding is noteworthy, as various observers expressed concerns with regard to the information efficiency of this newly established artificial market.

Policy impact studies often suffer from endogeneity problems. Consider the case of the ECB Securities Markets Programme: If Eurosystem interventions were triggered by sudden and strong price deteriorations, looking at daily price changes may bias downwards the correlation between yields and the amounts of bonds purchased. Simple regression of daily changes in yields on quantities often give insignificant or even positive coefficients and therefore suggest that SMP interventions have been ineffective, or worse counterproductive. We use high frequency data on purchases of the ECB Securities Markets Programme and sovereign bond quotes to address the endogeneity issues. We propose an econometric model that considers, simultaneously, first and second conditional moments of market price returns at daily and intradaily frequency. We find that SMP interventions succeeded in reducing yields and volatility of government bond segments of the countries under the programme. Finally, the new econometric model is broadly applicable to market intervention studies.

In the paper we present the application of risk neutral measure estimation in the analysis of the index WIG20 from Polish stock market. The risk neutral measure is calculated from the process of the options on that index. We assume that risk neutral measure is the mixture of lognormal distributions. The parameters of the distributions are estimated by minimizing the sum of squares of pricing errors. Obtained results are then compared with the model based on a single lognormal distribution. As an example we consider changes in risk neutral distribution at the beginning of March 2014, after the outbreak of political crisis in the Crimea.

This study examines the structure and formula for revenue allocation in Nigeria which has been fraught with challenges, proffers solution, and highlights its implications for sustainable national development. The work uses the methodology of Group Unit Root Test, auto regressive distributed lag (ARDL) Bounds Testing and Cointegrating Long Run tests for robust policy recommendations. Using the Gross Domestic Product as the dependent variable and revenue allocation to the three levels of government, and oil revenue as the independent variables, the results from the study show that revenue allocations and the other variables have significant relationship with economic growth in Nigeria. Based on our findings, the study recommends among others that the current revenue allocation formula should be reviewed to embrace autonomy in its entirety to achieve national goals and objectives. Various levels of government should be adequately funded to enable it carry out its expenditure responsibilities to accelerate grass root development. JEL classification: C22, C32, C58